Triple
T23465203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batman #1 |
E569084
|
entity |
| Predicate | introducesCharacter |
P12208
|
FINISHED |
| Object | Selina Kyle |
—
|
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: Selina Kyle | Statement: [Batman #1, introducesCharacter, Selina Kyle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selina Kyle Context triple: [Batman #1, introducesCharacter, Selina Kyle]
-
A.
Selina Kyle
chosen
Selina Kyle is a cunning and morally ambiguous cat burglar in the Batman universe, best known by her alter ego Catwoman.
-
B.
Helena Wayne
Helena Wayne is a DC Comics superheroine best known as the Earth-Two version of the Huntress, the daughter of Batman (Bruce Wayne) and Catwoman (Selina Kyle).
-
C.
Stephanie Brown
Stephanie Brown is a DC Comics superheroine best known for her roles as Spoiler, Robin, and later Batgirl in the Batman family of characters.
-
D.
Mary Jane Watson
Mary Jane Watson is a central character in the Spider-Man franchise, best known as Peter Parker’s longtime love interest and a key emotional anchor in his story.
-
E.
Jemma Wayne
Jemma Wayne is a British novelist and journalist known for her literary fiction and commentary on contemporary social issues.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 17, 2026, 5:54 p.m.