Triple
T16229085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halloween (2007 film) |
E393931
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Tyler Bates |
E68662
|
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: Tyler Bates | Statement: [Halloween (2007 film), musicBy, Tyler Bates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tyler Bates Context triple: [Halloween (2007 film), musicBy, Tyler Bates]
-
A.
Tyler Bates
chosen
Tyler Bates is an American composer best known for his dynamic film and television scores, including work on action franchises like John Wick and superhero films such as Guardians of the Galaxy.
-
B.
Gyasi Zardes
Gyasi Zardes is an American professional soccer forward known for his time with the LA Galaxy in Major League Soccer and for representing the United States national team.
-
C.
Marcus Raboy
Marcus Raboy is an American music video and film director known for his work with major hip-hop and R&B artists.
-
D.
Aston Matthews
Aston Matthews is an American rapper known for his gritty West Coast sound and collaborations within the underground hip-hop scene.
-
E.
Ryan Heffington
Ryan Heffington is an acclaimed American choreographer and director known for his distinctive, emotionally charged work in music videos, film, and television.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d2889688190ac04e4e9479cabf4 |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00079e83f08190a260751fd8b55eef |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.