Triple
T20780759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mariko Yashida |
E511472
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | X-Men |
—
|
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: X-Men | Statement: [Mariko Yashida, associatedWith, X-Men]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: X-Men Context triple: [Mariko Yashida, associatedWith, X-Men]
-
A.
X-Men
chosen
X-Men is a popular Marvel Comics superhero team of mutants who fight for peace and equality between humans and mutants.
-
B.
X-Men
X-Men is the name of the varsity athletic teams representing St. Francis Xavier University in intercollegiate sports competitions.
-
C.
X-Men (film series)
X-Men (film series) is a long-running superhero film franchise based on the Marvel Comics mutant team, known for its ensemble cast, themes of prejudice and identity, and major influence on modern comic-book cinema.
-
D.
Uncanny X-Men
Uncanny X-Men is a long-running and influential superhero comic book series that helped popularize Marvel’s mutant team and introduced many of its most iconic characters and storylines.
-
E.
X-Men Unlimited
X-Men Unlimited is a Marvel Comics anthology series that features standalone and expanded stories about various members of the X-Men universe.
- 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c26f99b88190a84a6889834e1e96 |
completed | April 21, 2026, 12:18 a.m. |
Created at: April 16, 2026, 12:37 p.m.