Triple
T32142682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quality Comics |
E820946
|
entity |
| Predicate | notableCreatorAssociated |
P78804
|
FINISHED |
| Object | Will Eisner |
E725823
|
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: Will Eisner | Statement: [Quality Comics, notableCreatorAssociated, Will Eisner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCreatorAssociated Context triple: [Quality Comics, notableCreatorAssociated, Will Eisner]
-
A.
notablyAssociatedWith
Indicates that one entity is prominently or distinctively connected with another in a way that is especially noteworthy or remarkable.
-
B.
notableMaker
chosen
Indicates that one entity is a well-known or significant creator, producer, or manufacturer of the other entity.
-
C.
notableProducer
Indicates that an entity is a significant or well-known producer associated with another entity, such as a work, product, or project.
-
D.
notableAssociatedArtist
Indicates that there is a significant or noteworthy association between an artist and another entity, such as a work, organization, or place.
-
E.
hasNearbyNotablePersonAssociation
Indicates a relationship where an entity is associated with a notable person who is located nearby or in close geographic proximity.
- F. None of above.
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_69f3490520d081909b2f1271dab75faa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2f014237b881909301d5eeef4f0fec |
completed | June 14, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:31 a.m.