Triple
T5404268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gustavo Bou |
E120852
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Bou |
E120852
|
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: Bou | Statement: [Gustavo Bou, hasSurname, Bou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bou Context triple: [Gustavo Bou, hasSurname, Bou]
-
A.
Bou
chosen
Bou is a surname of Spanish origin borne by Argentine professional footballer Gustavo Bou, among others.
-
B.
Bo
Bo was an extinct indigenous language of the Great Andamanese people, once spoken in the Andaman Islands of India.
-
C.
Bo
Bo was the Portuguese Water Dog who served as one of the Obama family's beloved First Pets during Barack Obama's presidency.
-
D.
Bo
Bo is the widely known nickname of legendary American college football coach Bo Schembechler, famed for his long tenure at the University of Michigan.
-
E.
Bo
Bo is the widely used nickname of Bo Jackson, the legendary American multi-sport athlete who excelled in both professional baseball and football.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8774cd8881909b3437ba02018444 |
completed | March 20, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf339037b4819084423826b7252002 |
completed | March 22, 2026, 12:10 a.m. |
Created at: March 20, 2026, 2:05 p.m.