Triple
T37730353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Criminal (Image Comics series) |
E940136
|
entity |
| Predicate | previousImprint |
P2763
|
FINISHED |
| Object | Icon 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: Icon Comics | Statement: [Criminal (Image Comics series), previousImprint, Icon Comics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousImprint Context triple: [Criminal (Image Comics series), previousImprint, Icon Comics]
-
A.
publisherImprint
chosen
Indicates the publishing imprint or brand under which a work is issued by a publisher.
-
B.
previousRecord
Indicates that one record directly precedes another in an ordered sequence of records.
-
C.
previousTitle
Indicates that one title held or used by an entity directly preceded another title in sequence or time.
-
D.
previousCollection
Indicates that one collection directly precedes another in an ordered sequence or series.
-
E.
previousProduction
Indicates that one production event, item, or version occurred or was created before another in a sequence.
- 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_69f76edefd048190a32212c5c3919531 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fff4530f908190afe9387f732c2b7e |
completed | May 10, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69fff3c01a64819091196875b0c88607 |
completed | May 10, 2026, 2:56 a.m. |
Created at: May 3, 2026, 4:18 p.m.