Triple
T9789647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Where the Day Takes You |
E237574
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Marc Rocco |
E821551
|
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: Marc Rocco | Statement: [Where the Day Takes You, producer, Marc Rocco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marc Rocco Context triple: [Where the Day Takes You, producer, Marc Rocco]
-
A.
Marc Rocco
chosen
Marc Rocco was an American film director, producer, and screenwriter known for socially conscious dramas in the late 20th century.
-
B.
Marc Ferraro
Marc Ferraro is an individual notable enough to be recognized as a namesake of the surname Ferraro, though specific widely known public details about him are limited.
-
C.
Vincent Spano
Vincent Spano is an American actor known for his work in film, television, and theater since the late 1970s.
-
D.
Danny Rocco
Danny Rocco is an American college football coach best known for leading multiple FCS programs, including successful tenures at Liberty, Richmond, and the University of Delaware.
-
E.
Sam Lavagnino
Sam Lavagnino is an American child voice actor known for roles in animated television series and films, including work in the 2018 adaptation of Dr. Seuss' The Grinch.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda214875481909f39e1d4dbac1fdb |
completed | April 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc4e30bc81909b1dce4a0cc69991 |
completed | April 5, 2026, 2:43 a.m. |
Created at: March 30, 2026, 8:28 p.m.