Triple
T15367838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CHiPs (2017 film) |
E367462
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Fil Eisler |
E1054555
|
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: Fil Eisler | Statement: [CHiPs (2017 film), musicBy, Fil Eisler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fil Eisler Context triple: [CHiPs (2017 film), musicBy, Fil Eisler]
-
A.
Fil Eisler
chosen
Fil Eisler is a Czech-born British composer best known for his work on film and television scores, including series like "Revenge" and "Empire."
-
B.
Josef Gingold
Josef Gingold was a renowned 20th-century violinist and influential pedagogue, celebrated for his refined musicianship and for mentoring many leading violinists.
-
C.
Karl Haas
Karl Haas was a German-American classical music radio host and musicologist best known for his long-running program "Adventures in Good Music."
-
D.
Fritz Sauter
Fritz Sauter was a German theoretical physicist known for his contributions to quantum mechanics and solid-state physics, including work on electron behavior in strong electric fields.
-
E.
Edwin Schloss
Edwin Schloss is known primarily as the son of renowned value investor Walter Schloss.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4a7cdc8190b7b48c97e774c306 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13457418819088232270b092c969 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:18 a.m.