Triple
T37464336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Overkill |
E930996
|
entity |
| Predicate | doesNotTriggerIf |
P100964
|
FINISHED |
| Object | target survives the damage |
—
|
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: target survives the damage | Statement: [Overkill, doesNotTriggerIf, target survives the damage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doesNotTriggerIf Context triple: [Overkill, doesNotTriggerIf, target survives the damage]
-
A.
doesNotApplyIf
Indicates that a rule, condition, or effect is not valid or should not be enforced when a specified circumstance or exception is present.
-
B.
doesNotPrevent
Indicates that one entity or condition fails to stop, block, or inhibit another event, action, or state from occurring.
-
C.
nonTriggerFeature
chosen
Indicates that a feature or characteristic is present but does not initiate, cause, or trigger the associated event, process, or condition.
-
D.
doesNotImply
Indicates that the truth of one statement or condition does not guarantee or lead to the truth of another statement or condition.
-
E.
doesNotConsider
Indicates that one entity fails or chooses not to take another entity or factor into account when forming judgments, decisions, or actions.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:17 p.m.