Triple
T7906138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippe Petit |
E183580
|
entity |
| Predicate | otherNotableWalk |
P79699
|
FINISHED |
| Object | high-wire walk between the towers of Notre-Dame de Paris |
—
|
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: high-wire walk between the towers of Notre-Dame de Paris | Statement: [Philippe Petit, otherNotableWalk, high-wire walk between the towers of Notre-Dame de Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: otherNotableWalk Context triple: [Philippe Petit, otherNotableWalk, high-wire walk between the towers of Notre-Dame de Paris]
-
A.
notableInCity
Indicates that an entity is particularly prominent, recognized, or significant within a specific city.
-
B.
hasNotableStreet
Indicates that an entity is associated with a particular street that is considered notable or significant.
-
C.
notableLocation
Indicates that a location is especially significant, prominent, or noteworthy in relation to the subject.
-
D.
notablePlace
Indicates that a place is especially significant, famous, or noteworthy in relation to the subject.
-
E.
notableLocationFeatured
Indicates that a particular location is prominently highlighted or showcased in relation to the subject.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a5871b8819087ad69c116c40091 |
completed | March 31, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69cae92f9498819085277879e59aa072 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7882b048190baa333af9f698590 |
completed | March 30, 2026, 10:22 p.m. |
Created at: March 30, 2026, 5:03 p.m.