Triple
T29152827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Mantlo |
E738954
|
entity |
| Predicate | hasNotableCharacterAssociation |
P65214
|
FINISHED |
| Object | Rocket Raccoon |
—
|
NE NERFINISHED |
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: Rocket Raccoon | Statement: [Bill Mantlo, hasNotableCharacterAssociation, Rocket Raccoon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableCharacterAssociation Context triple: [Bill Mantlo, hasNotableCharacterAssociation, Rocket Raccoon]
-
A.
hasNotablePeople
Indicates that certain people associated with an entity are distinguished or noteworthy in some recognized way.
-
B.
hasNotableAffiliation
Indicates that an entity is significantly associated or connected with another entity, such as an organization, group, or institution, in a way that is noteworthy or distinguished.
-
C.
hasNotableLocationAssociation
Indicates that there is a significant or noteworthy connection between an entity and a specific location.
-
D.
hasNearbyNotablePersonAssociation
Indicates a relationship where an entity is associated with a notable person who is located nearby or in close geographic proximity.
-
E.
hasNotablePersonConnection
chosen
Indicates that there exists a significant or noteworthy personal, professional, or historical relationship between the subject and the referenced person.
- 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_69f07cb46f148190874eb8576a447567 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69ff7c96e6dc8190b89554480ebcea39 |
completed | May 9, 2026, 6:27 p.m. |
| PD | Predicate disambiguation | batch_69ff7c2381748190ad9a2176e0e478cd |
completed | May 9, 2026, 6:25 p.m. |
Created at: April 28, 2026, 11:43 a.m.