Triple
T379625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curly McLain |
E8649
|
entity |
| Predicate | loveInterest |
P7325
|
FINISHED |
| Object | Laurey Williams |
E21510
|
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: Laurey Williams | Statement: [Curly McLain, loveInterest, Laurey Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurey Williams Context triple: [Curly McLain, loveInterest, Laurey Williams]
-
A.
Laurey Williams
chosen
Laurey Williams is the spirited young farm girl who serves as the romantic heroine in the classic Rodgers and Hammerstein musical "Oklahoma!".
-
B.
Leola Brown
Leola Brown was the wife of Oliver Brown, the named plaintiff in the landmark U.S. Supreme Court school desegregation case Brown v. Board of Education.
-
C.
Verna Fields
Verna Fields was an American film editor best known for her Oscar-winning work on the blockbuster thriller "Jaws" and her influential role in New Hollywood cinema.
-
D.
Lucille Wilson
Lucille Wilson was the fourth wife of jazz legend Louis Armstrong, known for her long marriage to him and for preserving and promoting his legacy.
-
E.
Ruby Aldridge
Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec2b07248190979229bad3a741c9 |
completed | Feb. 28, 2026, 1:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3b91124c819099303f579c31677b |
completed | March 7, 2026, 2:52 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.