Triple
T8501016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Wolfe |
E201213
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Sheila Berger Wolfe
Sheila Berger Wolfe is the wife of acclaimed American author and journalist Tom Wolfe.
|
E740088
|
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: Sheila Berger Wolfe | Statement: [Tom Wolfe, spouse, Sheila Berger Wolfe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheila Berger Wolfe Context triple: [Tom Wolfe, spouse, Sheila Berger Wolfe]
-
A.
Barbara Washburn
Barbara Washburn was an American mountaineer and pioneering female alpinist known for her significant first ascents and contributions to mountain exploration and cartography.
-
B.
Sylvia Weis
Sylvia Weis is a central character in the science-fiction film "In Time," portrayed as a wealthy young woman who becomes an ally and love interest to the protagonist in his fight against a time-based class system.
-
C.
Roberta Seidman
Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
-
D.
Lila Vogel
Lila Vogel is the mother of journalist Lloyd Vogel, a character in the film "A Beautiful Day in the Neighborhood."
-
E.
Judith Nodine
Judith Nodine is known as the former spouse of American investor and former U.S. Secretary of Commerce Wilbur Ross.
- 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: Sheila Berger Wolfe Triple: [Tom Wolfe, spouse, Sheila Berger Wolfe]
Generated description
Sheila Berger Wolfe is the wife of acclaimed American author and journalist Tom Wolfe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sheila Berger Wolfe Target entity description: Sheila Berger Wolfe is the wife of acclaimed American author and journalist Tom Wolfe.
-
A.
Barbara Washburn
Barbara Washburn was an American mountaineer and pioneering female alpinist known for her significant first ascents and contributions to mountain exploration and cartography.
-
B.
Sylvia Weis
Sylvia Weis is a central character in the science-fiction film "In Time," portrayed as a wealthy young woman who becomes an ally and love interest to the protagonist in his fight against a time-based class system.
-
C.
Roberta Seidman
Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
-
D.
Lila Vogel
Lila Vogel is the mother of journalist Lloyd Vogel, a character in the film "A Beautiful Day in the Neighborhood."
-
E.
Judith Nodine
Judith Nodine is known as the former spouse of American investor and former U.S. Secretary of Commerce Wilbur Ross.
- 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5996ce88190956cb3f8d9ad3daf |
completed | March 31, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d1c2ce4819082c92484d3865edf |
completed | April 2, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_69ce6e69213c8190add7eb9cc74b1a33 |
completed | April 2, 2026, 1:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6f28ae6481909a8a13613f3eb5e0 |
completed | April 2, 2026, 1:29 p.m. |
Created at: March 30, 2026, 6:14 p.m.