Triple
T20628888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fearless |
E506896
|
entity |
| Predicate | authorOfSourceWork |
P2353
|
FINISHED |
| Object | Rafael Yglesias |
—
|
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: Rafael Yglesias | Statement: [Fearless, authorOfSourceWork, Rafael Yglesias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rafael Yglesias Context triple: [Fearless, authorOfSourceWork, Rafael Yglesias]
-
A.
Rafael Yglesias
chosen
Rafael Yglesias is an American novelist and screenwriter known for works such as "Fearless" and adaptations including the 1998 film version of "Les Misérables."
-
B.
Jorge Saralegui
Jorge Saralegui is a film producer best known for his work on genre movies, including the horror adaptation "Queen of the Damned."
-
C.
Pablo A. Gallina
Pablo A. Gallina is an Argentine paleontologist known for his research on South American dinosaurs and collaboration with other leading researchers in the field.
-
D.
Fernando Arias
Fernando Arias is a Spanish diplomat who serves as the Director-General of the Organisation for the Prohibition of Chemical Weapons (OPCW).
-
E.
Enrique García
Enrique García is a Spanish-language personal name shared by multiple notable individuals across fields such as sports, politics, and the arts.
- 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe771e88190a48471bf83b4804d |
completed | April 20, 2026, 10:42 p.m. |
Created at: April 16, 2026, 11:42 a.m.