Triple
T18193157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NFL Films music library |
E435592
|
entity |
| Predicate | notableComposer |
P4321
|
FINISHED |
| Object | Tom Hedden |
—
|
NE NERFINISHED |
How this triple was built (3 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: Tom Hedden | Statement: [NFL Films music library, notableComposer, Tom Hedden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Hedden Context triple: [NFL Films music library, notableComposer, Tom Hedden]
-
A.
Kevin Hageman
Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
-
B.
Paul Hackett
Paul Hackett is a former U.S. Marine and Iraq War veteran best known for his high-profile 2005 special election campaign as a Democratic congressional candidate in Ohio.
-
C.
Todd Boekelheide
Todd Boekelheide is an American film composer and sound editor known for his work on numerous documentaries and feature films, including Academy Award–winning projects.
-
D.
Curtis Hixon
Curtis Hixon was a prominent Tampa, Florida mayor and civic leader whose contributions to the city led to major public landmarks being named in his honor.
-
E.
Phil DeVoss
Phil DeVoss is a fictional character from the romantic comedy-drama film "Elizabethtown," which explores themes of family, failure, and self-discovery.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Hedden Target entity description: Tom Hedden is an American composer best known for his dramatic, orchestral scores created for NFL Films and other sports media productions.
-
A.
Kevin Hageman
Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
-
B.
Paul Hackett
Paul Hackett is a former U.S. Marine and Iraq War veteran best known for his high-profile 2005 special election campaign as a Democratic congressional candidate in Ohio.
-
C.
Todd Boekelheide
Todd Boekelheide is an American film composer and sound editor known for his work on numerous documentaries and feature films, including Academy Award–winning projects.
-
D.
Curtis Hixon
Curtis Hixon was a prominent Tampa, Florida mayor and civic leader whose contributions to the city led to major public landmarks being named in his honor.
-
E.
Phil DeVoss
Phil DeVoss is a fictional character from the romantic comedy-drama film "Elizabethtown," which explores themes of family, failure, and self-discovery.
- F. None of above. chosen
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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d12b688190842375dcc5d5537c |
completed | April 19, 2026, 2:04 p.m. |
Created at: April 10, 2026, 10:31 a.m.