Triple
T8036684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gift |
E187124
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Michael Jeter |
E385935
|
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: Michael Jeter | Statement: [The Gift, starring, Michael Jeter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Jeter Context triple: [The Gift, starring, Michael Jeter]
-
A.
Michael Jeter
chosen
Michael Jeter was an American character actor known for his eccentric, heartfelt performances in film, television, and theater, including notable roles in projects like The Green Mile, Evening Shade, and Sesame Street.
-
B.
Michael Dewell
Michael Dewell is best known as the husband of Dutch-American actress Nina Foch.
-
C.
Andrew Gant
Andrew Gant is a British composer, singer, author, and academic known for his work in choral music and his writings on the history of English church music and carols.
-
D.
Michael Tapper
Michael Tapper is an American drummer best known for his work in indie and experimental rock bands, including his tenure with the group Grizzly Bear.
-
E.
Eric Jager
Eric Jager is an American medievalist and author best known for his historical narrative "The Last Duel," which recounts a famous 14th-century French trial by combat.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f188e1c8190b92760c91d31f2df |
completed | March 31, 2026, 3:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbe4211bc8190a784c19f11f17a39 |
completed | April 1, 2026, 6:42 a.m. |
Created at: March 30, 2026, 5:22 p.m.