Triple
T18850750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pablo Iglesias Posse |
E461034
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Iglesias |
—
|
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: Iglesias | Statement: [Pablo Iglesias Posse, familyName, Iglesias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iglesias Context triple: [Pablo Iglesias Posse, familyName, Iglesias]
-
A.
Iglesias
chosen
Iglesias is a Spanish surname borne by numerous notable figures in fields such as music, politics, and sports.
-
B.
Iglesias
Iglesias is a historic mining town in southwestern Sardinia, Italy, known for its medieval architecture and role in the island’s metallurgical industry.
-
C.
Chábeli Iglesias
Chábeli Iglesias is a Spanish socialite and television personality, best known as the daughter of singer Julio Iglesias and socialite Isabel Preysler.
-
D.
Cristina Iglesias
Cristina Iglesias is a renowned Spanish sculptor and installation artist celebrated for her large-scale, site-specific works that often integrate architectural forms and natural elements.
-
E.
Santamaría
Santamaría is a Spanish-language surname borne by various notable figures in Latin American history and culture.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5b8f27cf481908c60fcdce412a224 |
completed | April 20, 2026, 5:26 a.m. |
Created at: April 10, 2026, 11:56 a.m.