Triple
T12877552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ugly Betty |
E308006
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Ignacio Suarez |
E1089430
|
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: Ignacio Suarez | Statement: [Ugly Betty, character, Ignacio Suarez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ignacio Suarez Context triple: [Ugly Betty, character, Ignacio Suarez]
-
A.
Ignacio Suarez
chosen
Ignacio Suarez is a fictional character from the television series "Ugly Betty," portrayed as the caring and hardworking father of the show's protagonist, Betty Suarez.
-
B.
Manuel Serrano
Manuel Serrano is a computer scientist and software engineer best known for creating and maintaining the Bigloo Scheme compiler and contributing to programming language implementation and web programming tools.
-
C.
Vicente Suárez
Vicente Suárez was a young Mexican military cadet celebrated as one of the Niños Héroes for his heroic death defending Chapultepec Castle during the Mexican–American War.
-
D.
Esteban Fuertes
Esteban Fuertes is an Argentine former football striker best known as a prolific goal-scorer and idol of Club Atlético Colón.
-
E.
Manuel Vega
Manuel Vega is a designer best known for his work on the Moonman character.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970fa8474819086a8af3c90f3ca84 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd46686c288190a51847f86785568a |
completed | May 8, 2026, 2:11 a.m. |
Created at: April 9, 2026, 5:38 p.m.