Triple
T9006093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Efrem Zimbalist |
E215146
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Efrem |
E564473
|
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: Efrem | Statement: [Efrem Zimbalist, givenName, Efrem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Efrem Context triple: [Efrem Zimbalist, givenName, Efrem]
-
A.
Efrem
chosen
Efrem is a masculine given name most notably borne by American actor Efrem Zimbalist Jr., known for his roles in classic television series.
-
B.
Fayard
Fayard is a prominent French publishing house known for its literary works, essays, and non-fiction titles.
-
C.
Freddie Solomon
Freddie Solomon was an American NFL wide receiver best known for his successful career with the San Francisco 49ers, including contributing to two Super Bowl championships in the 1980s.
-
D.
Elvin
Elvin is a masculine given name most notably associated with Hall of Fame basketball player Elvin Hayes.
-
E.
John Whynot
John Whynot is a Canadian record producer, engineer, and musician known for his work with artists such as Neil Young and Bruce Cockburn.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69bc6e208190b0c01e3761c04799 |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0e7f090819093c7af51c3979978 |
completed | April 3, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:05 p.m.