Triple
T23465226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batman #1 |
E569084
|
entity |
| Predicate | hasCoverTitleCharacter |
P92323
|
FINISHED |
| Object | Batman |
—
|
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: Batman | Statement: [Batman #1, hasCoverTitleCharacter, Batman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoverTitleCharacter Context triple: [Batman #1, hasCoverTitleCharacter, Batman]
-
A.
hasFrontCoverTitle
Indicates that an item’s front cover bears a specific title text.
-
B.
hasMainTitleCharacter
chosen
Indicates that a work’s primary or main title is centered on, derived from, or explicitly names a particular character.
-
C.
containsCoverOf
Indicates that one entity includes within it a cover or covering representation of another entity.
-
D.
hasCoverName
Indicates that one entity uses or is known by an alternative, often secret or assumed, name in relation to another entity or context.
-
E.
hasCoverType
Indicates that one entity possesses or is associated with a specific type or category of cover.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6f9e59081909e8cf224ee46109c |
completed | April 29, 2026, 6:36 a.m. |
| PD | Predicate disambiguation | batch_69f06201d33481909b5fd7b92d03e658 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:54 p.m.