Triple
T15585874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ángel Arroyo |
E374619
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ángel |
E673614
|
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: Ángel | Statement: [Ángel Arroyo, givenName, Ángel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ángel Context triple: [Ángel Arroyo, givenName, Ángel]
-
A.
Ángel
chosen
Ángel is a given name of Spanish origin commonly used for males and derived from the word for “angel.”
-
B.
Arcángel
Arcángel is a Puerto Rican-American reggaeton and Latin trap singer and songwriter known for his influential role in the urban Latin music scene.
-
C.
Ángel Rojo
Ángel Rojo is a Spanish former professional footballer known for his career as a forward in La Liga during the 1970s and 1980s.
-
D.
Anjel
Anjel was an R&B girl group formed by former Destiny’s Child member LaTavia Roberson after her departure from the chart-topping group.
-
E.
El Ángel
El Ángel is a famous victory column and iconic symbol of Mexico City commemorating the country’s independence.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e4900408190aadb48b001db4169 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c5166d88190ab14c7779e3e8e1f |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:11 a.m.