Triple
T38634436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolverines! |
E937539
|
entity |
| Predicate | hasKillstreakSupport |
P191304
|
FINISHED |
| Object | Predator drone missile strike (scripted) |
—
|
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: Predator drone missile strike (scripted) | Statement: [Wolverines!, hasKillstreakSupport, Predator drone missile strike (scripted)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKillstreakSupport Context triple: [Wolverines!, hasKillstreakSupport, Predator drone missile strike (scripted)]
-
A.
numberOfConfirmedKills
Indicates the total count of individuals that an entity is reported or confirmed to have killed.
-
B.
serviceNumberOfConfirmedKills
Indicates the number of enemy combatants an individual is officially credited with having killed in the course of their service.
-
C.
streak
Indicates that an entity is experiencing a continuous run of the same outcome or behavior across multiple consecutive events or time points.
-
D.
hasKillerWeapon
Indicates that a particular weapon was used by an entity to commit a killing.
-
E.
usesStrikes
Indicates that one entity employs or relies on strikes as a method, tactic, or means to achieve a goal or exert influence over another entity or situation.
- F. None of above. chosen
Provenance (4 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_69f76ed5ca3c81909288f61fbf37b359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcdb0cf6008190b27046b694f84356 |
completed | May 7, 2026, 6:33 p.m. |
Created at: May 3, 2026, 4:32 p.m.