Triple
T16775471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michelle Bachelet |
E407709
|
entity |
| Predicate | childOf |
P120
|
FINISHED |
| Object | Ángela Jeria |
—
|
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: Ángela Jeria | Statement: [Michelle Bachelet, childOf, Ángela Jeria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ángela Jeria Context triple: [Michelle Bachelet, childOf, Ángela Jeria]
-
A.
Ángela Jeria
chosen
Ángela Jeria was a Chilean archaeologist and human rights advocate best known as the mother of former Chilean president Michelle Bachelet.
-
B.
Ángela de la Peña
Ángela de la Peña was the wife of Joaquín de la Pezuela, a Spanish military officer and viceroy of Peru during the early 19th century.
-
C.
Belén Atienza
Belén Atienza is a Spanish film producer known for her work on acclaimed international films such as "The Impossible" and collaborations with director J.A. Bayona.
-
D.
Pilar Roldán
Pilar Roldán is a Mexican fencer best known for taking the Olympic Oath for athletes and winning a silver medal in women's foil at the 1968 Mexico City Games.
-
E.
María Arjona
María Arjona is a notable individual who carries the Arjona surname, recognized as one of its distinguished bearers.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b039a2a88190865e6a42c830c54d |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:22 a.m.