Triple
T38464409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Komodo Joe |
E912527
|
entity |
| Predicate | roleInCrashBandicoot2 |
P204152
|
FINISHED |
| Object | boss character |
—
|
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: boss character | Statement: [Komodo Joe, roleInCrashBandicoot2, boss character]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInCrashBandicoot2 Context triple: [Komodo Joe, roleInCrashBandicoot2, boss character]
-
A.
roleInRocketRaccoon
Indicates that an entity has a specific role or involvement in the context of Rocket Raccoon (such as in a story, production, or related work).
-
B.
roleInTameImpala
Indicates the specific role or function an entity has within the musical project Tame Impala.
-
C.
roleInCocaineBear
Indicates that an entity participated in the film "Cocaine Bear" in a specific role (such as actor, director, or other credited position).
-
D.
roleInMisfits
Indicates that an entity has a specific role or function within a group, project, or collection referred to as "Misfits."
-
E.
roleInBirdsOfPrey
Indicates that an entity has a specific role or character in the work "Birds of Prey."
- F. None of above. chosen
Provenance (4 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_69f76e861d8c81908559031dc66e3c15 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a0337c7389c8190b71d27b8eb8daf9a |
completed | May 12, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_6a0335b7b1588190b02a0ce6a08704aa |
completed | May 12, 2026, 2:14 p.m. |
| PDg | Predicate description generation | batch_6a0337c68714819099ab6a3ebe400852 |
completed | May 12, 2026, 2:23 p.m. |
Created at: May 3, 2026, 4:31 p.m.