Triple
T38592935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hellfire Shotguns |
E932494
|
entity |
| Predicate | associatedWithPlaystyle |
P3775
|
FINISHED |
| Object | Aggressive flanking |
—
|
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: Aggressive flanking | Statement: [Hellfire Shotguns, associatedWithPlaystyle, Aggressive flanking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithPlaystyle Context triple: [Hellfire Shotguns, associatedWithPlaystyle, Aggressive flanking]
-
A.
associatedWithStyleOfPlayOfBearer
Indicates that something is connected to or characterized by the style of play exhibited by the bearer.
-
B.
associatedWithPlay
Indicates a relationship in which an entity is connected or linked to a particular play (theatrical work or dramatic performance) in some relevant way.
-
C.
playstyleBenefit
Indicates that one playstyle provides an advantage, improvement, or positive effect to a player or entity.
-
D.
styleOfPlay
chosen
Indicates the characteristic manner or approach in which an entity performs or behaves, especially in a game, sport, or artistic context.
-
E.
playstyleWeakness
Indicates a relationship where one playstyle is particularly vulnerable or disadvantaged when facing another playstyle.
- 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a2026248190b894436a578d79ac |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.