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.