Triple
T5537524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1919 (Jean Acker) |
E145200
|
entity |
| Predicate | hasParticipant |
P149
|
FINISHED |
| Object | Jean Acker |
E56118
|
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: Jean Acker | Statement: [1919 (Jean Acker), hasParticipant, Jean Acker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Acker Context triple: [1919 (Jean Acker), hasParticipant, Jean Acker]
-
A.
Jean Acker
chosen
Jean Acker was an American silent film actress best known as the first wife of movie icon Rudolph Valentino.
-
B.
Patricia Strawn
Patricia Strawn is known as the wife of American film producer Samuel Goldwyn Jr., a prominent figure in the Hollywood film industry.
-
C.
Barbara Hackett
Barbara Hackett is a Canadian businesswoman and home renovator best known as the wife of former Toronto mayor John Tory.
-
D.
Glena Goranson
Glena Goranson is the longtime wife of NFL coach Pete Carroll, known for her low public profile despite her husband’s high-profile football career.
-
E.
Judy Nye
Judy Nye is known primarily for being the first wife of American media mogul and CNN founder Ted Turner.
- 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fb19cb8819088b21e8ebef63d8b |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b08225f08190ac27f066573b4f28 |
completed | March 23, 2026, 3:16 a.m. |
Created at: March 22, 2026, 3:34 p.m.