Triple
T8891282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crocker |
E211680
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Susan Crocker
Susan Crocker is a notable individual who shares the Crocker surname, likely recognized for contributions in her professional or public life.
|
E896110
|
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: Susan Crocker | Statement: [Crocker, hasNotableBearer, Susan Crocker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Crocker Context triple: [Crocker, hasNotableBearer, Susan Crocker]
-
A.
Sally Crocker
Sally Crocker is a notable individual who shares the Crocker surname, recognized enough to be specifically cited as a bearer of the name.
-
B.
Patricia Crocker
Patricia Crocker is a notable individual recognized as a prominent bearer of the Crocker surname.
-
C.
Margaret Crocker
Margaret Crocker was a 19th-century Sacramento philanthropist best known for donating her late husband's extensive art collection and endowing what became the Crocker Art Museum.
-
D.
Jane Brucker
Jane Brucker is an American actress best known for playing Lisa Houseman, the protagonist’s older sister, in the classic 1987 film "Dirty Dancing."
-
E.
Laura Bickford
Laura Bickford is an American film producer best known for her work on acclaimed independent and studio films, including the Oscar-winning drama "Traffic."
- 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: Susan Crocker Triple: [Crocker, hasNotableBearer, Susan Crocker]
Generated description
Susan Crocker is a notable individual who shares the Crocker surname, likely recognized for contributions in her professional or public life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susan Crocker Target entity description: Susan Crocker is a notable individual who shares the Crocker surname, likely recognized for contributions in her professional or public life.
-
A.
Sally Crocker
Sally Crocker is a notable individual who shares the Crocker surname, recognized enough to be specifically cited as a bearer of the name.
-
B.
Patricia Crocker
Patricia Crocker is a notable individual recognized as a prominent bearer of the Crocker surname.
-
C.
Margaret Crocker
Margaret Crocker was a 19th-century Sacramento philanthropist best known for donating her late husband's extensive art collection and endowing what became the Crocker Art Museum.
-
D.
Jane Brucker
Jane Brucker is an American actress best known for playing Lisa Houseman, the protagonist’s older sister, in the classic 1987 film "Dirty Dancing."
-
E.
Laura Bickford
Laura Bickford is an American film producer best known for her work on acclaimed independent and studio films, including the Oscar-winning drama "Traffic."
- 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_69ca83907954819096d52a245b635841 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61ba33c48190a657fc4147a326c0 |
completed | April 1, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23aeb6f9c8190a986af35bcf353f7 |
completed | April 17, 2026, 1:51 p.m. |
| NEDg | Description generation | batch_69e2453f6f008190847298f4006290f7 |
completed | April 17, 2026, 2:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e288b1d64c8190b31313634b706d0a |
completed | April 17, 2026, 7:23 p.m. |
Created at: March 30, 2026, 6:54 p.m.