Triple
T6916040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Baez |
E160054
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Baez |
E19458
|
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: Baez | Statement: [Albert Baez, familyName, Baez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baez Context triple: [Albert Baez, familyName, Baez]
-
A.
Janis
Janis is a given name, often used as a variant of Janice, that can be masculine or feminine depending on cultural context.
-
B.
Pia Guerra
Pia Guerra is a Canadian comic book artist best known for her acclaimed work on the Vertigo series "Y: The Last Man."
-
C.
Joan Baez
chosen
Joan Baez is an American folk singer, songwriter, and activist renowned for her distinctive soprano voice and prominent role in the 1960s civil rights and anti-war movements.
-
D.
Siparia
Siparia is a town in southern Trinidad known historically for its oil industry and its multicultural religious pilgrimage site, La Divina Pastora.
-
E.
Emily King
Emily King is an American singer-songwriter known for her soulful blend of R&B, pop, and jazz influences and her critically acclaimed, Grammy-nominated work.
- 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_69c6883ab1008190a07129ff06f625d9 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9dec058819094d1913a1e5218c0 |
completed | March 27, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7491589c08190982a84f2b61b497b |
completed | March 28, 2026, 3:20 a.m. |
Created at: March 27, 2026, 2:26 p.m.