Triple
T11529794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doom Eternal |
E273388
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Mick Gordon |
E914258
|
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: Mick Gordon | Statement: [Doom Eternal, composer, Mick Gordon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mick Gordon Context triple: [Doom Eternal, composer, Mick Gordon]
-
A.
Mick Gordon
chosen
Mick Gordon is an Australian composer and sound designer best known for his heavy, industrial-style scores for video games such as Doom, Wolfenstein, and Prey.
-
B.
Ed O’Brien
Ed O’Brien is an English guitarist and backing vocalist best known as a member of the alternative rock band Radiohead.
-
C.
Mike Mangini
Mike Mangini is an American drummer renowned for his technical precision and speed, best known as the longtime drummer for the progressive metal band Dream Theater.
-
D.
Mitchell Froom
Mitchell Froom is an American record producer and musician known for his innovative, atmospheric work with artists such as Crowded House, Suzanne Vega, and Los Lobos.
-
E.
Mark Aronoff
Mark Aronoff is an American linguist renowned for his influential work in morphology and for his long-standing role as a professor at Stony Brook University.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8839878948190b170e64629d6f2db |
completed | April 10, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6856341b481909d2ee71893e6117b |
completed | April 20, 2026, 7:58 p.m. |
Created at: April 8, 2026, 9:37 p.m.