Triple
T14901314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Graves |
E360009
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Peter Graves |
E360009
|
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: Peter Graves | Statement: [Peter Graves, name, Peter Graves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Graves Context triple: [Peter Graves, name, Peter Graves]
-
A.
Peter Graves
chosen
Peter Graves was an American actor best known for his role as Jim Phelps, the leader of the Impossible Missions Force, in the television series "Mission: Impossible."
-
B.
Peter D. Graves
Peter D. Graves is a film producer best known for his work on major Hollywood action and science fiction movies, including Terminator Salvation.
-
C.
Robert Olivo
Robert Olivo, better known by his stage name Ondine, was an American actor and prominent member of Andy Warhol’s Factory scene in the 1960s underground film and art world.
-
D.
Vic Morrow
Vic Morrow was an American actor best known for his role in the television series "Combat!" and for his tragic death in a helicopter accident during the filming of "Twilight Zone: The Movie."
-
E.
Jeff Morrow
Jeff Morrow was an American actor best known for his roles in mid-20th-century films and television, particularly in biblical epics and science fiction movies.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded609bf68819099ca3aa3fe1acadc |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72b30c6881908b80ca96fb5b716f |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:11 a.m.