Triple
T10194774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Bradley |
E238132
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object | Weapon X |
E277352
|
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: Weapon X | Statement: [Chris Bradley, enemyOf, Weapon X]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weapon X Context triple: [Chris Bradley, enemyOf, Weapon X]
-
A.
Weapon X (related conceptually)
chosen
Weapon X is a clandestine Marvel Comics program best known for experimenting on mutants like Wolverine to create enhanced, weaponized super-soldiers.
-
B.
T-X program
The T-X program is a U.S. Air Force initiative to develop and procure a next-generation advanced jet trainer aircraft to replace the aging T-38 Talon fleet.
-
C.
T-X
The T-X is an advanced, shape-shifting Terminator model from the Terminator franchise, designed as a highly lethal, next-generation assassin android.
-
D.
X-23
X-23 is a Marvel Comics character, a female clone and successor to Wolverine known for her adamantium claws, healing factor, and complex struggle with her assassin origins.
-
E.
The Weapon
The Weapon is a film featuring American actor Steve Cochran, known for his tough-guy roles in mid-20th-century crime and drama movies.
- 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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdedc7cc748190bceb8f657afcc054 |
completed | April 2, 2026, 4:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d32aef701c8190a01e632eb4fda1b9 |
completed | April 6, 2026, 3:39 a.m. |
Created at: March 30, 2026, 9:13 p.m.