Triple
T16315698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 24: Legacy |
E396167
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Dan Bucatinsky |
—
|
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: Dan Bucatinsky | Statement: [24: Legacy, starring, Dan Bucatinsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Bucatinsky Context triple: [24: Legacy, starring, Dan Bucatinsky]
-
A.
Dan Bucatinsky
chosen
Dan Bucatinsky is an American actor, writer, and producer best known for his Emmy-winning role on "Scandal" and his work in television comedy and drama.
-
B.
Jon Rubinstein
Jon Rubinstein is an American computer engineer and executive best known for his key role in developing Apple's iPod and later leading Palm as CEO.
-
C.
Benny Horowitz
Benny Horowitz is an American drummer best known for his work with the New Jersey rock band The Gaslight Anthem.
-
D.
Philip Andelman
Philip Andelman is an American music video and commercial director known for his work with major artists across pop and rock music.
-
E.
Dan Gershon
Dan Gershon is known as the brother of American actress Gina Gershon.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288de57cc81908cec93309347c385 |
completed | April 17, 2026, 7:24 p.m. |
Created at: April 10, 2026, 5:06 a.m.