Triple
T21198353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iaiá Garcia |
E522384
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object | Estela |
—
|
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: Estela | Statement: [Iaiá Garcia, hasMainCharacter, Estela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Estela Context triple: [Iaiá Garcia, hasMainCharacter, Estela]
-
A.
Estela
chosen
Estela is a fictional character from the interactive visual novel game "Coronation."
-
B.
Estela de Luz
Estela de Luz is a modern commemorative monument in Mexico City, known for its tall, illuminated quartz-clad structure symbolizing national identity and remembrance.
-
C.
Lanzón
The Lanzón is a monumental granite deity sculpture and central cult object of the Chavín de Huántar temple complex in ancient Peru, renowned for its intricate iconography and religious significance in early Andean civilization.
-
D.
Unalaq
Unalaq is a major antagonist in "The Legend of Korra," serving as Korra’s uncle and a powerful waterbending chief and spiritual leader.
-
E.
Aparo
Aparo is an Italian surname most notably associated with comic book artist Jim Aparo, known for his work on DC Comics titles such as Batman.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7333d6dec8190bbc66a71b31ea559 |
completed | April 21, 2026, 8:20 a.m. |
Created at: April 16, 2026, 3:16 p.m.