Triple
T27604632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippe Petit |
E700146
|
entity |
| Predicate | highWireWalkType |
P163506
|
FINISHED |
| Object | unauthorized |
—
|
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: unauthorized | Statement: [Philippe Petit, highWireWalkType, unauthorized]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highWireWalkType Context triple: [Philippe Petit, highWireWalkType, unauthorized]
-
A.
walkOffType
Indicates the specific way in which a walk-off (a game-ending play or event) occurs or is classified.
-
B.
walkwayType
Indicates the specific kind or classification of a walkway associated with an entity (e.g., sidewalk, footpath, boardwalk).
-
C.
boardwalkType
Indicates the specific kind or classification of a boardwalk in relation to its general category or design.
-
D.
hasWalkingRouteType
Indicates that an entity is associated with a specific type or category of walking route (e.g., trail, path, or walking itinerary).
-
E.
formaWalki
Indicates a relationship where an entity is associated with, or characterized by, a particular form or style of combat.
- 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_69ef6a4e2e208190b63b7268f405785c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6397b64f881909d811225e57aac5e |
completed | May 2, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_69f6370c8c7c8190a02ea82847bb6e76 |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f63893cc188190883ac9321a95d2dc |
completed | May 2, 2026, 5:46 p.m. |
Created at: April 27, 2026, 2:09 p.m.