Triple
T28674176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deron Bennett |
E725814
|
entity |
| Predicate | hasWorkedForPublisher |
P93612
|
FINISHED |
| Object | DC Comics |
—
|
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: DC Comics | Statement: [Deron Bennett, hasWorkedForPublisher, DC Comics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkedForPublisher Context triple: [Deron Bennett, hasWorkedForPublisher, DC Comics]
-
A.
hasPublisher
Indicates that an entity is published or issued by a specific publisher.
-
B.
hasWorkedFor
Indicates that an entity has been employed by or has provided work or services to another entity.
-
C.
publisherWorkedFor
chosen
Indicates that a person was employed by or had a working relationship with a particular publishing organization.
-
D.
hasPublication
Indicates that an entity is associated with or responsible for a specific publication.
-
E.
hasSyndicatedWork
Indicates that an entity has created, owns, or is associated with a work that is distributed or licensed for publication or broadcast by multiple external outlets or platforms.
- 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_69f01d867608819086bc3e6b4f9de866 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f7979a073881909a4fde2558e6b6f3 |
completed | May 3, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
Created at: April 28, 2026, 5:05 a.m.