Triple
T33117778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frenchie |
E847503
|
entity |
| Predicate | hasWeaponOfChoice |
P6014
|
FINISHED |
| Object | improvised weapons |
—
|
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: improvised weapons | Statement: [Frenchie, hasWeaponOfChoice, improvised weapons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWeaponOfChoice Context triple: [Frenchie, hasWeaponOfChoice, improvised weapons]
-
A.
hasWeaponOption
Indicates that an entity has a particular weapon available as a selectable or usable option.
-
B.
usedWeapon
Indicates that an entity employed a specific weapon as the means or tool to carry out an action or event.
-
C.
hasKillerWeapon
Indicates that a particular weapon was used by an entity to commit a killing.
-
D.
hasWeaponType
chosen
Indicates that an entity is associated with or equipped with a specific type or category of weapon.
-
E.
hasSacredWeapon
Indicates that an entity possesses or is associated with a weapon regarded as holy, consecrated, or religiously significant.
- 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_69f3495751a081909850af5843da40dc |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:27 a.m.