Triple
T14822043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Muppets Take Manhattan |
E348474
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | David Lazer |
E1115074
|
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: David Lazer | Statement: [The Muppets Take Manhattan, producer, David Lazer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Lazer Context triple: [The Muppets Take Manhattan, producer, David Lazer]
-
A.
David Lazer
chosen
David Lazer was a film and television producer best known for his work with Jim Henson and The Muppets.
-
B.
David Lanzenberg
David Lanzenberg is a film cinematographer known for his work on feature films such as "Paper Towns."
-
C.
Carl T. Bergstrom
Carl T. Bergstrom is an American biologist and professor at the University of Washington known for his work on scientific communication, network theory, and the development of metrics for evaluating scholarly impact.
-
D.
Chris Wiggins
Chris Wiggins is a Canadian actor best known for his extensive work in television, film, and voice acting, including roles in series such as "Friday the 13th: The Series."
-
E.
David T. Wagner
David T. Wagner is a screenwriter best known for co-writing the college comedy film "Van Wilder."
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe64328819083ce42704cf0602d |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe389bc06c8190a8269c07677d9c35 |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:51 a.m.