Triple
T17624901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armando Bo |
E429812
|
entity |
| Predicate | coWriterWith |
P7870
|
FINISHED |
| Object | Nicolás Giacobone |
—
|
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: Nicolás Giacobone | Statement: [Armando Bo, coWriterWith, Nicolás Giacobone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicolás Giacobone Context triple: [Armando Bo, coWriterWith, Nicolás Giacobone]
-
A.
Nicolás Giacobone
chosen
Nicolás Giacobone is an Argentine screenwriter best known for co-writing the Academy Award–winning film "Birdman or (The Unexpected Virtue of Ignorance)."
-
B.
Nicolás Casariego
Nicolás Casariego is a Spanish writer and screenwriter known for co-writing the acclaimed survival drama film "Society of the Snow."
-
C.
Nicolás Romero
Nicolás Romero is a municipality in the State of Mexico, Mexico, known as a largely urban and industrial area within the northwestern part of the Mexico City metropolitan region.
-
D.
Martín Carrera
Martín Carrera is a Mexico City Metro station that serves as a key terminal and transfer point in the network.
-
E.
Raúl Godoy
Raúl Godoy is a notable individual recognized for achievements that have made the surname Godoy prominent in public records or historical references.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dbb2a348190982658d495c81da0 |
completed | April 19, 2026, 5:52 a.m. |
Created at: April 10, 2026, 5:52 a.m.