Triple
T3329972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tangled |
E70009
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Dan Fogelman |
E302692
|
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: Dan Fogelman | Statement: [Tangled, screenwriter, Dan Fogelman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Fogelman Context triple: [Tangled, screenwriter, Dan Fogelman]
-
A.
Dan Fogelman
chosen
Dan Fogelman is an American television and film writer and producer best known for creating the hit drama series "This Is Us" and writing films such as "Crazy, Stupid, Love."
-
B.
Steven Levitan
Steven Levitan is an American television writer, producer, and director best known for co-creating the acclaimed sitcom "Modern Family."
-
C.
Charles Shyer
Charles Shyer is an American filmmaker best known for directing and co-writing popular romantic comedies such as "Father of the Bride" and "Baby Boom."
-
D.
Brad Silberling
Brad Silberling is an American film and television director known for movies such as "City of Angels," "Casper," and "Lemony Snicket's A Series of Unfortunate Events."
-
E.
David Frankel
David Frankel is an American film and television director best known for helming popular works such as "The Devil Wears Prada" and episodes of "Sex and the City."
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb171ee0881908642504ab0ac8329 |
completed | March 8, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a810e2c8190bfc206bdeb1ac5b8 |
completed | March 12, 2026, 7:56 p.m. |
Created at: March 8, 2026, 3:12 p.m.