Triple
T15681490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry |
E377586
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Chris Elliott |
E385948
|
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: Chris Elliott | Statement: [Larry, portrayedBy, Chris Elliott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Elliott Context triple: [Larry, portrayedBy, Chris Elliott]
-
A.
Chris Elliott
chosen
Chris Elliott is an American actor and comedian known for his offbeat roles in film and television, including his supporting role in the comedy classic "Groundhog Day."
-
B.
Will Murray
Will Murray is an American writer best known for his extensive work continuing classic pulp fiction series, particularly the Doc Savage novels.
-
C.
Ken Wahl
Ken Wahl is an American actor best known for his tough-guy roles in films and television, particularly in the 1980s crime drama series "Wiseguy."
-
D.
Kevin Allen
Kevin Allen is a British actor and director known for his work in film and television, including directing the cult comedy "Twin Town."
-
E.
David Conner
David Conner was a United States Navy officer best known for commanding American naval forces in the Gulf of Mexico during the Mexican–American War.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f306a1c8190a819541a3cc51f5a |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb0335a0c8190ade4c2f78df3d113 |
completed | May 9, 2026, 10:07 p.m. |
Created at: April 10, 2026, 4:16 a.m.