Triple
T23177296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lainez |
E579038
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Diego Laínez |
—
|
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: Diego Laínez | Statement: [Lainez, hasNotableBearer, Diego Laínez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diego Laínez Context triple: [Lainez, hasNotableBearer, Diego Laínez]
-
A.
Diego Laínez
chosen
Diego Laínez was a 16th-century Spanish Jesuit priest and theologian who succeeded Ignatius of Loyola as the second Superior General of the Society of Jesus and played a key role at the Council of Trent.
-
B.
Diego Espejel
Diego Espejel is an actor known for appearing in the survival thriller film "The Shallows."
-
C.
Santiago Bueras
Santiago Bueras was a Chilean military officer and patriot who fought in the Chilean War of Independence.
-
D.
Diego Llorico
Diego Llorico is a Filipino comedian and actor best known for his work on the long-running GMA Network sketch comedy show "Bubble Gang."
-
E.
Dario Cueto
Dario Cueto is a fictional, ruthless promoter and authority figure in the Lucha Underground wrestling promotion, known for orchestrating violent matches and manipulating wrestlers for his own gain.
- 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_69e245fd2a388190b814c0dfa15f7148 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f6b823c8190a2d39c54e48a1001 |
completed | April 29, 2026, 4:56 a.m. |
Created at: April 17, 2026, 4:04 p.m.