Triple
T9392020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Boyd |
E226046
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Raquel Welch |
E540945
|
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: Raquel Welch | Statement: [Stephen Boyd, workedWith, Raquel Welch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raquel Welch Context triple: [Stephen Boyd, workedWith, Raquel Welch]
-
A.
Raquel Welch
chosen
Raquel Welch was an American actress and 1960s sex symbol known for her roles in adventure and fantasy films, which made her an international pop culture icon.
-
B.
Stefanie Powers
Stefanie Powers is an American actress best known for her role as Jennifer Hart in the television series "Hart to Hart."
-
C.
Pat Farrah
Pat Farrah is an American retail executive best known as a co-founder of The Home Depot and a key architect of the big-box home improvement store concept.
-
D.
Cheryl White
Cheryl White is a supporting character in the sports drama film "McFarland, USA," depicted as part of the community surrounding the high school cross-country team.
-
E.
Gina Carter
Gina Carter is a British film and television producer known for her work on projects such as the period drama "Bright Young Things."
- 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd510eae0c8190b7c4ab487a366bb3 |
completed | April 1, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1101e83e8819093fe8d25c819820b |
completed | April 4, 2026, 1:20 p.m. |
Created at: March 30, 2026, 7:45 p.m.