Triple
T17251582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zao |
E418765
|
entity |
| Predicate | causeOfNotableFeature |
P694
|
FINISHED |
| Object | diamonds embedded in his face after an explosion |
—
|
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: diamonds embedded in his face after an explosion | Statement: [Zao, causeOfNotableFeature, diamonds embedded in his face after an explosion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfNotableFeature Context triple: [Zao, causeOfNotableFeature, diamonds embedded in his face after an explosion]
-
A.
possibleCauseOfNotability
Indicates that one entity is a potential reason or contributing factor for why another entity is notable or recognized.
-
B.
notableFeatureOn
Indicates that one entity is a prominent or distinguishing feature located on or part of another entity.
-
C.
causeOf
chosen
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
D.
notableFeatureInStory
Indicates that a particular feature, element, or characteristic plays a significant or prominent role within a story.
-
E.
causeInStory
Indicates that one event, action, or state functions as the cause of another within the narrative structure of a story.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e694f788190a1c86e95264ed2fe |
completed | April 19, 2026, 1:22 a.m. |
| PD | Predicate disambiguation | batch_69e3832a284481908a8a3da7ac91de5a |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:39 a.m.