Triple
T13350057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1997 Phoenix Lights |
E318045
|
entity |
| Predicate | hasNotableWitnessRole |
P9232
|
FINISHED |
| Object | Governor of Arizona at the time |
—
|
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: Governor of Arizona at the time | Statement: [1997 Phoenix Lights, hasNotableWitnessRole, Governor of Arizona at the time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableWitnessRole Context triple: [1997 Phoenix Lights, hasNotableWitnessRole, Governor of Arizona at the time]
-
A.
hasNotableRoleIn
Indicates that an entity holds a significant or noteworthy role or function within another entity, event, work, or context.
-
B.
notableWitness
chosen
Indicates that one entity is a significant or prominent witness to an event, action, or situation involving another entity.
-
C.
hasNotableIdentity
Indicates that an entity is recognized for a specific, distinguished role, status, or identity that makes it notable.
-
D.
hasWitnessType
Indicates that an event, incident, or situation is associated with a specific category or type of witness involved.
-
E.
notableHolderRole
Indicates that an entity is recognized for holding a particular role, office, or position in a notable or distinguished capacity.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8c2f1c819094f0970f35f18afa |
completed | April 11, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69d98f6e53d88190bd6aa42f69b10ffb |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:31 p.m.