Triple
T32166687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinny Pazienza |
E821600
|
entity |
| Predicate | usedHaloBrace |
P31655
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Vinny Pazienza, usedHaloBrace, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedHaloBrace Context triple: [Vinny Pazienza, usedHaloBrace, true]
-
A.
hasHaloRingShape
Indicates that one entity possesses or exhibits a ring-like shape characteristic of a halo.
-
B.
associatedWithHeadgear
chosen
Indicates a relationship where an entity is connected or related to a particular item of headgear, such as by wearing, using, or being characterized by it.
-
C.
hasEmergencyHologram
Indicates that an entity possesses or is equipped with an emergency hologram system available for use in critical or urgent situations.
-
D.
hasClasps
Indicates that one entity is equipped with or features clasps that fasten, secure, or attach it to another entity or its parts.
-
E.
usesBeltSystem
Indicates that a subject employs a structured belt-ranking system (e.g., colored belts) to denote levels of skill, progress, or status.
- 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_69f3490699a48190bbef96b198e8fade |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6ba2089588190808706cc40fea7d6 |
completed | May 3, 2026, 2:59 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:33 a.m.