Triple
T20524191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deep in My Heart |
E503891
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Charles Gross |
—
|
NE NERFINISHED |
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: Charles Gross | Statement: [Deep in My Heart, composer, Charles Gross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Gross Context triple: [Deep in My Heart, composer, Charles Gross]
-
A.
Charles Gross
chosen
Charles Gross is an American composer best known for his film and television scores, including the soundtrack for the comedy film "Turner & Hooch."
-
B.
Charles Gross
Charles Gross was a film editor known for his work on mid-20th-century genre movies, including science fiction and horror films.
-
C.
Roger B. Grosse
Roger B. Grosse is a computer scientist and machine learning researcher known for his contributions to deep learning optimization and probabilistic modeling.
-
D.
Kevin J. Gross
Kevin J. Gross is a party to the U.S. Supreme Court case Glossip v. Gross, which addressed the constitutionality of certain lethal injection protocols.
-
E.
George A. Scangos
George A. Scangos is an American biopharmaceutical executive and scientist known for leading major biotech companies, including Biogen and Vir Biotechnology.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f48691c8190af0ac959e92e10d9 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:37 a.m.