Triple
T35526178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IWGP Junior Heavyweight Championship |
E1026676
|
entity |
| Predicate | hasScriptedOutcomes |
P108535
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [IWGP Junior Heavyweight Championship, hasScriptedOutcomes, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScriptedOutcomes Context triple: [IWGP Junior Heavyweight Championship, hasScriptedOutcomes, yes]
-
A.
scriptedOutcome
Indicates that the outcome of an event or interaction is predetermined or controlled according to a script rather than arising spontaneously.
-
B.
hasScriptedNature
chosen
Indicates that something is predetermined or follows a written or planned script rather than occurring spontaneously.
-
C.
canBeScripted
Indicates that the action or behavior can be defined, controlled, or automated through a script or scripting mechanism.
-
D.
hasScriptStatus
Indicates that an entity has a particular script-related state or condition, such as whether a script is present, active, or in a given status.
-
E.
hasNarrativeOutcome
Indicates that an event, action, or narrative element leads to or results in a particular story-related consequence or resolution.
- 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_69f76dfe78b081908e2b14cb88dd8c00 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
Created at: May 3, 2026, 4:04 p.m.