Triple
T20525607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francisco Rabal |
E503925
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Nazarin |
—
|
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: Nazarin | Statement: [Francisco Rabal, notableWork, Nazarin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nazarin Context triple: [Francisco Rabal, notableWork, Nazarin]
-
A.
Nazarin
chosen
Nazarin is a 1959 Spanish-Mexican drama film directed by Luis Buñuel, acclaimed for its exploration of faith, morality, and social injustice.
-
B.
Zarganar
Zarganar is a prominent Burmese comedian, actor, and dissident known for his sharp political satire and repeated imprisonments under Myanmar’s military regimes.
-
C.
Baghban
Baghban is a 2003 Hindi drama film about aging parents facing neglect from their grown children, starring Amitabh Bachchan and Hema Malini.
-
D.
Marliana
Marliana is a small Italian municipality in the Tuscany region, known for its hilly landscape and historic rural character.
-
E.
The Zahir
The Zahir is a philosophical novel by Brazilian author Paulo Coelho that explores themes of obsession, love, and spiritual self-discovery through the story of a writer searching for his missing wife.
- 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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a06504b48190b3f1defdc23a47d5 |
completed | April 20, 2026, 9:53 p.m. |
Created at: April 16, 2026, 11:37 a.m.