Triple
T7775583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Heat |
E221381
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Henry Vars |
E446095
|
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: Henry Vars | Statement: [The Big Heat, musicBy, Henry Vars]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Vars Context triple: [The Big Heat, musicBy, Henry Vars]
-
A.
Henry Vars
chosen
Henry Vars was a Polish-American composer best known for his film and television scores, including work in Hollywood after emigrating from Poland.
-
B.
Henry V of England
Henry V of England was a 15th-century king of England renowned for his military leadership during the Hundred Years' War, especially his decisive victory at the Battle of Agincourt.
-
C.
Edward King
Edward King is a writer best known for authoring the work associated with the title "All Summer Long."
-
D.
Edward
Edward is a masculine given name of English origin, historically associated with kings of England and notable figures such as U.S. Senator Edward M. Kennedy.
-
E.
Henry O
Henry O is a Chinese-American character actor known for his roles in films such as "Romeo Must Die" and "The Last Emperor."
- 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_69ca83ebbef881909ac47f789145fef7 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69caa4d005808190ac14c8d716421bdb |
completed | March 30, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf58a86548190b870417692e4b654 |
completed | March 30, 2026, 10:13 p.m. |
Created at: March 30, 2026, 3:46 p.m.