Triple
T15974481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winning |
E387408
|
entity |
| Predicate | coAuthor |
P398
|
FINISHED |
| Object | Suzy Welch |
E387409
|
NE FINISHED |
How this triple was built (2 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: Suzy Welch | Statement: [Winning, coAuthor, Suzy Welch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suzy Welch Context triple: [Winning, coAuthor, Suzy Welch]
-
A.
Suzy Welch
chosen
Suzy Welch is an American author, television commentator, and business journalist known for her work on management and leadership, including co-authoring books with former GE CEO Jack Welch.
-
B.
Suzy Weiner
Suzy Weiner is best known as the wife of legendary American Olympic swimmer Mark Spitz.
-
C.
Paula Liveris
Paula Liveris is the wife of Andrew Liveris, the former CEO and chairman of Dow Chemical Company.
-
D.
Rachel Roy
Rachel Roy is an American fashion designer known for her eponymous contemporary womenswear brand and work with high-profile celebrity clients.
-
E.
Linda Hurley
Linda Hurley is an Australian community advocate and former viceregal consort, known for her role as the wife of General David Hurley, the 27th Governor-General of Australia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572b667c8190b28d0556e45422bb |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe8ce7788190a3e0aefc9a29d58a |
completed | May 9, 2026, 11:09 p.m. |
Created at: April 10, 2026, 4:54 a.m.