Triple
T11748168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woods family |
E279336
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Crizette Woods
Crizette Woods is an individual member of the Woods family, known primarily in relation to that family group.
|
E944783
|
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: Crizette Woods | Statement: [Woods family, hasMember, Crizette Woods]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crizette Woods Context triple: [Woods family, hasMember, Crizette Woods]
-
A.
Cress Williams
Cress Williams is an American actor best known for his television roles, including the lead in the superhero series "Black Lightning" and prominent parts in shows like "Hart of Dixie" and "Prison Break."
-
B.
Cherie Wood
Cherie Wood is an American local politician who serves as the mayor of South Salt Lake, Utah.
-
C.
Tiana Rogers
Tiana Rogers was a Cherokee woman known for her marriage to Sam Houston, the American statesman and leader of the Republic of Texas.
-
D.
Christie Parker
Christie Parker is a fictional character played by actress Jennifer Crystal Foley, best known from her work in American television.
-
E.
Krystal Weedon
Krystal Weedon is a troubled, working-class teenage girl who plays a central and tragic role in J.K. Rowling’s novel "The Casual Vacancy."
- 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: Crizette Woods Triple: [Woods family, hasMember, Crizette Woods]
Generated description
Crizette Woods is an individual member of the Woods family, known primarily in relation to that family group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crizette Woods Target entity description: Crizette Woods is an individual member of the Woods family, known primarily in relation to that family group.
-
A.
Cress Williams
Cress Williams is an American actor best known for his television roles, including the lead in the superhero series "Black Lightning" and prominent parts in shows like "Hart of Dixie" and "Prison Break."
-
B.
Cherie Wood
Cherie Wood is an American local politician who serves as the mayor of South Salt Lake, Utah.
-
C.
Tiana Rogers
Tiana Rogers was a Cherokee woman known for her marriage to Sam Houston, the American statesman and leader of the Republic of Texas.
-
D.
Christie Parker
Christie Parker is a fictional character played by actress Jennifer Crystal Foley, best known from her work in American television.
-
E.
Krystal Weedon
Krystal Weedon is a troubled, working-class teenage girl who plays a central and tragic role in J.K. Rowling’s novel "The Casual Vacancy."
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a50763a081908597da118bd0a64e |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a0492b48190b6f2e3cf36b4f537 |
completed | April 28, 2026, 2:23 a.m. |
| NEDg | Description generation | batch_69f0319520dc8190817c5e75ddb7d40b |
completed | April 28, 2026, 4:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f05ad36e4c8190b7239e5b33713369 |
completed | April 28, 2026, 6:59 a.m. |
Created at: April 8, 2026, 9:41 p.m.