Triple
T13004998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clueless (stage musical) |
E322261
|
entity |
| Predicate | orchestrationsBy |
P4735
|
FINISHED |
| Object | Ethan Popp |
E966356
|
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: Ethan Popp | Statement: [Clueless (stage musical), orchestrationsBy, Ethan Popp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ethan Popp Context triple: [Clueless (stage musical), orchestrationsBy, Ethan Popp]
-
A.
Ethan Popp
chosen
Ethan Popp is an American music supervisor, arranger, and orchestrator best known for his work on major Broadway productions and musical adaptations.
-
B.
Ethan Gross
Ethan Gross is a screenwriter and producer best known for co-writing the science fiction film "Ad Astra" and his work on the television series "Fringe."
-
C.
Evan Schiff
Evan Schiff is a film editor known for his work on high-profile action movies, including entries in the John Wick franchise.
-
D.
Nathan Resnick
Nathan Resnick is an American entrepreneur best known as the founder and CEO of Sourcify, a platform that helps companies streamline and manage their product manufacturing overseas.
-
E.
Joey Parnes
Joey Parnes is a prominent Broadway producer known for shepherding numerous high-profile plays and musicals to the New York stage.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9a2a448190968833354280e474 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5f6c4e081909f035260462015b1 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 8:48 p.m.