Triple
T16568944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfonso Arau |
E402533
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Arau |
E402533
|
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: Arau | Statement: [Alfonso Arau, familyName, Arau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arau Context triple: [Alfonso Arau, familyName, Arau]
-
A.
Arau
Arau is a small Malaysian town that serves as the royal seat of the state of Perlis and is known for its palace and role in state ceremonies.
-
B.
Arau
chosen
Arau is the surname of Mexican filmmaker and actor Alfonso Arau, known for works such as "Like Water for Chocolate."
-
C.
Vargas state
Vargas state is a coastal region of Venezuela along the Caribbean Sea, known for its port city of La Guaira, beaches, and significant Afro-Venezuelan cultural presence.
-
D.
Parra
Parra is a village in North Goa, India, known for its scenic coconut-lined roads and traditional Goan charm.
-
E.
Araguaína
Araguaína is a major commercial and economic center in northern Brazil, located in the state of Tocantins.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35773c00c819091731bebc02a69bb |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ee616a0819089b3cdc1da951735 |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:16 a.m.