Triple
T13635495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gulliver McGrath |
E325836
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object | Sacha in Hugo |
E204368
|
NE 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: Sacha in Hugo | Statement: [Gulliver McGrath, playedCharacter, Sacha in Hugo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sacha in Hugo Context triple: [Gulliver McGrath, playedCharacter, Sacha in Hugo]
-
A.
Sacha
chosen
Sacha is a given name used in various cultures, often as a variant of Sasha and commonly serving as a diminutive of Alexander or Alexandra.
-
B.
Héctor in Coco
Héctor in Coco is a charming, skeletal trickster from the Land of the Dead who becomes a key mentor and long-lost family member to the film’s young protagonist, Miguel.
-
C.
Jaquino
Jaquino is a supporting character in Beethoven’s opera "Fidelio," typically portrayed as the young jailer in love with Marzelline.
-
D.
Ole the Gaucho
Ole the Gaucho is the costumed cowboy-style mascot who represents the athletic teams and school spirit of the University of California, Santa Barbara.
-
E.
Cacambo
Cacambo is a loyal, quick-witted servant and companion to Candide in Voltaire’s satirical novel "Candide."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc5a616dc81908b8c1213e1d4beed |
completed | April 12, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78aef6fd08190b209a94b9ddd024c |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:51 p.m.