Triple
T7092071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vili the Warrior |
E165217
|
entity |
| Predicate | persona |
P61233
|
FINISHED |
| Object | Hawaiian warrior |
—
|
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: Hawaiian warrior | Statement: [Vili the Warrior, persona, Hawaiian warrior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: persona Context triple: [Vili the Warrior, persona, Hawaiian warrior]
-
A.
metPerson
Indicates that one person has encountered or come into contact with another person, typically in a face-to-face meeting.
-
B.
personnel
Indicates that an entity serves as staff or workforce associated with another entity, such as an organization, project, or facility.
-
C.
hasPersona
chosen
Indicates that an entity possesses or is associated with a particular persona, role, or character profile.
-
D.
hasPerson
Indicates that an entity is associated with or includes a specific person.
-
E.
primaryPeople
Indicates that the referenced people are the main or most important individuals associated with a given entity, event, or context.
- 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e53132288190b6da361d9c7218ab |
completed | March 27, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c172148190bf290c07bf579d1f |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:41 p.m.