Triple
T20178693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Goss |
E492666
|
entity |
| Predicate | roleInDesertRockScene |
P31161
|
FINISHED |
| Object | pioneering producer |
—
|
LITERAL 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: pioneering producer | Statement: [Chris Goss, roleInDesertRockScene, pioneering producer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInDesertRockScene Context triple: [Chris Goss, roleInDesertRockScene, pioneering producer]
-
A.
roleInLasVegas
Indicates that an entity holds or held a specific role, position, or function within the context of Las Vegas (such as in its government, organizations, events, or productions).
-
B.
roleInScene
chosen
Indicates that an entity participates in a particular scene with a specific role or function within that scene.
-
C.
roleInDUNE
Indicates that an entity has a specific acting role or participation in the production of the film "Dune."
-
D.
roleInSilhouette
Indicates that an entity has a specific functional or positional role within a larger silhouette or outline structure.
-
E.
roleInElysium
Indicates that an entity holds a specific role, position, or function within the context of Elysium.
- F. None of above.
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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668ed07c8819091bd9ffda237a91c |
completed | April 20, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69e55b0c11cc8190836d1eee5945f000 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:36 p.m.