Triple
T28307003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whiskey Cavalier |
E713882
|
entity |
| Predicate | mainProtagonistCodename |
P118534
|
FINISHED |
| Object | Whiskey Cavalier |
—
|
NE NERFINISHED |
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: Whiskey Cavalier | Statement: [Whiskey Cavalier, mainProtagonistCodename, Whiskey Cavalier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainProtagonistCodename Context triple: [Whiskey Cavalier, mainProtagonistCodename, Whiskey Cavalier]
-
A.
mainProtagonist
Indicates that the subject is the central character or primary focus in the narrative of the related work.
-
B.
protagonistAlsoKnownAs
Indicates that an entity serving as a protagonist is alternatively referred to by another name or alias.
-
C.
protagonistDefaultName
chosen
Indicates that an entity is the default or canonical name assigned to the protagonist in a given work or context.
-
D.
protagonistRealWorldName
Indicates that a character’s name in the real world (outside a fictional, virtual, or alternate setting) is associated with that character as the story’s protagonist.
-
E.
mainCharacterCodeNumber
Indicates that an entity is identified as the primary or central character by a specific code number.
- 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_69efb5256afc8190b9322d25c3ae6320 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 27, 2026, 11:38 p.m.