Triple
T6655097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tallulah Bankhead |
E150919
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | John Emery |
E164721
|
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: John Emery | Statement: [Tallulah Bankhead, spouse, John Emery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Emery Context triple: [Tallulah Bankhead, spouse, John Emery]
-
A.
John Emery
chosen
John Emery was an American stage, film, and television actor active in the mid-20th century, often cast in sophisticated or villainous supporting roles.
-
B.
Jonathan Emery
Jonathan Emery is an actor known for his role in the film "The Iron Mistress."
-
C.
Emil Foley
Emil Foley is a tough yet principled Marine Corps drill instructor in the romantic drama film "An Officer and a Gentleman."
-
D.
Richard Emery
Richard Emery is a bishop who has served as the ecclesiastical leader of the Episcopal Diocese of North Dakota.
-
E.
Anthony McHenry
Anthony McHenry is an American professional basketball player best known for his long, successful career in Japan’s B.League, particularly as a key contributor to the Ryukyu Golden Kings.
- 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b049958c8190bb3ef0d4c281825b |
completed | March 27, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723b575a08190a3e0b1f233c36ba0 |
completed | March 28, 2026, 12:41 a.m. |
Created at: March 27, 2026, 2:01 p.m.