Triple
T5069403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fire, Ready, Aim |
E114233
|
entity |
| Predicate | performerRole |
P9616
|
FINISHED |
| Object | Tré Cool – drums |
E27750
|
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: Tré Cool – drums | Statement: [Fire, Ready, Aim, performerRole, Tré Cool – drums]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tré Cool – drums Context triple: [Fire, Ready, Aim, performerRole, Tré Cool – drums]
-
A.
Tré Cool
chosen
Tré Cool is the longtime drummer of the American punk rock band Green Day, known for his energetic playing style and stage presence.
-
B.
Brian Downey (drummer)
Brian Downey is an Irish drummer best known as a founding member of the hard rock band Thin Lizzy.
-
C.
Travis Barker
Travis Barker is an American drummer best known as a member of the rock band Blink-182 and a prominent figure in pop-punk music.
-
D.
Drumpt
Drumpt is a residential neighborhood in the Dutch city of Tiel, known for its local community character within the broader Tiel municipality.
-
E.
Toydrum
Toydrum is a British electronic music duo known for their atmospheric, cinematic soundtracks and film and television score work.
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd749f47908190891ac8432c5b5615 |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba659fd8819081563a106fef3776 |
completed | March 21, 2026, 3:33 p.m. |
Created at: March 20, 2026, 1:39 p.m.