Triple
T12031534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darlene Cates |
E286420
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Cates
Cates is a surname most notably associated with American actress Darlene Cates, known for her role in the film "What's Eating Gilbert Grape."
|
E961003
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Cates | Statement: [Darlene Cates, familyName, Cates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cates Context triple: [Darlene Cates, familyName, Cates]
-
A.
Oates
Oates is a surname most notably associated with American character actor Warren Oates, known for his roles in 1960s and 1970s film and television.
-
B.
Lovejoy
Lovejoy is a British television drama series about a roguish yet charming antiques dealer with a knack for spotting valuable items and getting into trouble.
-
C.
Lovejoy
Lovejoy is a surname most notably associated with Thomas E. Lovejoy, an influential American biologist and conservationist known for pioneering work in biodiversity.
-
D.
Drinkard
Drinkard is a surname most notably associated with the American gospel-singing Drinkard family, which includes relatives of Whitney Houston.
-
E.
Elizabeth Harvest
Elizabeth Harvest is a 2018 science fiction thriller film that blends elements of mystery and horror as it follows a newlywed woman uncovering dark secrets in her husband's secluded mansion.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cates Triple: [Darlene Cates, familyName, Cates]
Generated description
Cates is a surname most notably associated with American actress Darlene Cates, known for her role in the film "What's Eating Gilbert Grape."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cates Target entity description: Cates is a surname most notably associated with American actress Darlene Cates, known for her role in the film "What's Eating Gilbert Grape."
-
A.
Oates
Oates is a surname most notably associated with American character actor Warren Oates, known for his roles in 1960s and 1970s film and television.
-
B.
Lovejoy
Lovejoy is a British television drama series about a roguish yet charming antiques dealer with a knack for spotting valuable items and getting into trouble.
-
C.
Lovejoy
Lovejoy is a surname most notably associated with Thomas E. Lovejoy, an influential American biologist and conservationist known for pioneering work in biodiversity.
-
D.
Drinkard
Drinkard is a surname most notably associated with the American gospel-singing Drinkard family, which includes relatives of Whitney Houston.
-
E.
Elizabeth Harvest
Elizabeth Harvest is a 2018 science fiction thriller film that blends elements of mystery and horror as it follows a newlywed woman uncovering dark secrets in her husband's secluded mansion.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903f24490819092ec911d6ed8e24b |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d5fd0708190860201a4a8c6fe7c |
completed | May 1, 2026, 12:32 p.m. |
| NEDg | Description generation | batch_69f53d930714819080f92d223d930389 |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f56495830c8190ad5e1767f251b4c5 |
completed | May 2, 2026, 2:42 a.m. |
Created at: April 8, 2026, 9:47 p.m.