Triple
T11769855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uncanny X-Men |
E279869
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Gambit |
E913665
|
NE FINISHED |
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: Gambit | Statement: [Uncanny X-Men, featuresCharacter, Gambit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gambit Context triple: [Uncanny X-Men, featuresCharacter, Gambit]
-
A.
Gambit
chosen
Gambit is a Marvel Comics mutant and member of the X-Men known for charging objects with explosive kinetic energy, most iconically playing cards, and his agile, roguish fighting style.
-
B.
Rogue
Rogue is a Hearthstone class focused on stealth, combo-based gameplay, and efficient removal using daggers, spells, and sneaky minions.
-
C.
Rogue
Rogue is a 2007 Australian horror thriller film about tourists trapped by a giant man-eating crocodile in a remote Northern Territory river.
-
D.
Rogue
Rogue is a popular Marvel Comics superhero and member of the X-Men known for her ability to absorb others’ powers and memories through touch.
-
E.
Juggernaut
Juggernaut is a powerful Marvel Comics supervillain known for his immense strength and near-unstoppable momentum, often depicted as an adversary of the X-Men.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a55c9f988190b203b66a28c767ae |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f09075aba8819082434a43473025bd |
completed | April 28, 2026, 10:48 a.m. |
Created at: April 8, 2026, 9:41 p.m.