Triple
T15937984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Can’t Hold Back |
E386485
|
entity |
| Predicate | performerBandMember |
P22076
|
FINISHED |
| Object | Marc Droubay |
E386487
|
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: Marc Droubay | Statement: [I Can’t Hold Back, performerBandMember, Marc Droubay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marc Droubay Context triple: [I Can’t Hold Back, performerBandMember, Marc Droubay]
-
A.
Marc Droubay
chosen
Marc Droubay is a drummer best known for his work with the rock band Survivor during their peak years in the 1980s.
-
B.
Michael Dewell
Michael Dewell is best known as the husband of Dutch-American actress Nina Foch.
-
C.
Jeff Gourson
Jeff Gourson is a film editor known for his work on movies such as the comedy "White Chicks."
-
D.
Doug Bowne
Doug Bowne is a musician best known for his work with the new wave band Tom Tom Club.
-
E.
Darryl Cabey
Darryl Cabey is one of the four Black teenagers who was shot and severely injured by Bernhard Goetz in the highly publicized 1984 New York City subway shooting.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156ac934c8190b6178eb66023252e |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb82a29081909ef0e2685d0705c3 |
completed | May 10, 2026, 2:20 a.m. |
Created at: April 10, 2026, 4:53 a.m.