Triple
T3795654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amancio Williams |
E89763
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Amancio |
E89763
|
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: Amancio | Statement: [Amancio Williams, givenName, Amancio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amancio Context triple: [Amancio Williams, givenName, Amancio]
-
A.
Amancio Williams
chosen
Amancio Williams was an influential 20th-century Argentine architect known for his innovative modernist designs and structural experimentation.
-
B.
Al Cisneros
Al Cisneros is an American bassist and vocalist best known for his work in the influential stoner/doom metal bands Sleep and Om.
-
C.
Enrique
Enrique is a Spanish given name equivalent to the English name Henry.
-
D.
Antonio Cruz Villalón
Antonio Cruz Villalón is a Spanish architect best known as a co-founder of the renowned architectural firm Cruz y Ortiz Arquitectos, recognized for its contemporary public and cultural buildings.
-
E.
Carlos Slim Helú
Carlos Slim Helú is a Mexican business magnate and philanthropist, long ranked among the world’s richest people through his extensive holdings in telecommunications and other industries.
- 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee79f09bc8190b7514a11a030eba5 |
completed | March 9, 2026, 3:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb232650819089feed9d5bb8c91a |
completed | March 14, 2026, 6:07 a.m. |
Created at: March 9, 2026, 3:15 p.m.