Triple
T15328375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xavier Barcons |
E366470
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Xavier |
E1017921
|
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: Xavier | Statement: [Xavier Barcons, givenName, Xavier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xavier Context triple: [Xavier Barcons, givenName, Xavier]
-
A.
Xavier
Xavier is the given name of Xavi Hernández, the renowned Spanish former footballer and current manager best known for his legendary midfield role at FC Barcelona and with Spain’s national team.
-
B.
Xavier
Xavier is the men's college basketball team representing Xavier University in NCAA Division I competition.
-
C.
Xavier
Xavier is the middle name of X. Atencio, the Disney animator and Imagineer known for his work on classic theme park attractions.
-
D.
Xavier
Xavier is a central character in the sitcom "Zoe Ever After," serving as Zoe's ex-husband and a key figure in the show's family and relationship dynamics.
-
E.
Xavier
chosen
Xavier is a masculine given name of Basque and Arabic origin, widely used in French- and Spanish-speaking countries and beyond.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dffd6f88190a0f031ee90c6a7d2 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8af92a88190bd47f1a484f25eb1 |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:16 a.m.