Triple
T22280674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Bowie |
E550721
|
entity |
| Predicate | hasWeaponNamedAfter |
P80463
|
FINISHED |
| Object | Bowie knife |
—
|
LITERAL 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: Bowie knife | Statement: [James Bowie, hasWeaponNamedAfter, Bowie knife]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWeaponNamedAfter Context triple: [James Bowie, hasWeaponNamedAfter, Bowie knife]
-
A.
hasNotableWeaponNamedAfter
chosen
Indicates that an entity possesses a notable weapon that is named after another specific entity.
-
B.
hasWeaponType
Indicates that an entity is associated with or equipped with a specific type or category of weapon.
-
C.
weaponName
Indicates that an entity has or is associated with a specific weapon identified by its name.
-
D.
hasHumanBuiltWeapon
Indicates that an entity possesses, controls, or is equipped with a weapon that has been constructed or manufactured by humans.
-
E.
usedWeapon
Indicates that an entity employed a specific weapon as the means or tool to carry out an action or event.
- 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_69e11e44d538819097c6b8f333af3352 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14eab4f848190b1a8ba70f9fb0581 |
completed | April 29, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e72ff0363081909f794d19c8a64837 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:40 p.m.