Triple
T16815733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gregg Palmer |
E408742
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Gregg Palmer |
—
|
NE NERFINISHED |
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: Gregg Palmer | Statement: [Gregg Palmer, birthName, Gregg Palmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gregg Palmer Context triple: [Gregg Palmer, birthName, Gregg Palmer]
-
A.
Gregg Palmer
chosen
Gregg Palmer was an American character actor known for his rugged roles in Westerns and mid-20th-century Hollywood films.
-
B.
Gary Plummer
Gary Plummer is a former American football linebacker best known for his NFL career with the San Diego Chargers and San Francisco 49ers, including winning Super Bowl XXIX.
-
C.
Alan Parrish
Alan Parrish is the adventurous boy-turned-man trapped for decades inside a magical, dangerous board game in the fantasy film "Jumanji."
-
D.
Mike Dailey
Mike Dailey is an American arena football coach best known for leading the Albany Firebirds and later the Colorado Crush to success in the Arena Football League.
-
E.
Brent Judd
Brent Judd is a film and television producer best known for his work on the comedy series "Trainwreck."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e1de908190aa3508770fb865cf |
completed | April 18, 2026, 4:35 p.m. |
Created at: April 10, 2026, 5:23 a.m.