Triple
T35842534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tombstone Piledriver |
E1036122
|
entity |
| Predicate | executionMotion |
P6160
|
FINISHED |
| Object | attacker drops to knees |
—
|
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: attacker drops to knees | Statement: [Tombstone Piledriver, executionMotion, attacker drops to knees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: executionMotion Context triple: [Tombstone Piledriver, executionMotion, attacker drops to knees]
-
A.
movementIn
Indicates a relationship where an entity moves within, into, or inside a specified area, space, or container.
-
B.
movementFor
Indicates that one entity moves on behalf of, in support of, or as a representative action for another entity.
-
C.
modelsMotionOf
Indicates that one entity provides a representation or simulation of the motion or movement behavior of another entity.
-
D.
motionBy
Indicates that one entity undergoes movement or change in position caused or driven by another entity or agent.
-
E.
movementType
chosen
Indicates the manner or mode in which an entity moves or is moved from one place or state to another.
- 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_69f76e1a29e8819088280f26096aeb55 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:06 p.m.