Triple
T681050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blood and Sand (1922 film) |
E13180
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Carmen |
E36362
|
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: Carmen | Statement: [Blood and Sand (1922 film), hasCharacter, Carmen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carmen Context triple: [Blood and Sand (1922 film), hasCharacter, Carmen]
-
A.
Carmen
Carmen is a key character in the dark fantasy film "Pan’s Labyrinth," serving as the pregnant mother whose fragile health and marriage to a brutal captain frame the story’s wartime and familial tensions.
-
B.
Carmen
chosen
Carmen is a famous opera by Georges Bizet, renowned for its passionate music and tragic story centered on the free-spirited gypsy Carmen.
-
C.
Carmen Fought
Carmen Fought is a linguist known for her influential research on Chicano English and sociolinguistic variation in American Spanish-speaking communities.
-
D.
MAMACITA
"MAMACITA" is a 2020 Latin-influenced pop and reggaeton single by the Black Eyed Peas featuring Ozuna and J. Rey Soul.
-
E.
La Candelaria
La Candelaria is Bogotá’s historic downtown neighborhood, known for its colonial architecture, cobblestone streets, and many of the city’s main cultural and political landmarks.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a06e294c8190873116a3253e04f9 |
completed | March 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c3a5701c8190810e5e52bc2b61f7 |
completed | March 2, 2026, 5:06 p.m. |
Created at: March 1, 2026, 7:36 p.m.