Triple
T26088685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Merc with a Mouth |
E658057
|
entity |
| Predicate | usedByPublisher |
P1760
|
FINISHED |
| Object | Marvel 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: Marvel Comics | Statement: [The Merc with a Mouth, usedByPublisher, Marvel Comics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByPublisher Context triple: [The Merc with a Mouth, usedByPublisher, Marvel Comics]
-
A.
hasPublisher
chosen
Indicates that an entity is published or issued by a specific publisher.
-
B.
usedByAuthor
Indicates that something (such as a method, tool, or resource) is employed or utilized by an author.
-
C.
usedPublication
Indicates that an entity made use of a particular publication as a source, reference, or supporting material.
-
D.
includesPublisherFrom
Indicates that something contains or incorporates a publisher that originates from or is associated with a specified source or context.
-
E.
usedByAuthorTo
Indicates that something is employed or utilized by an author to achieve a particular purpose or effect.
- 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_69ee5bbfc4d08190a1b206d0ac3a1e8d |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 26, 2026, 7:45 p.m.