Triple
T5524940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diego Luna |
E144899
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Frida |
E346456
|
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: Frida | Statement: [Diego Luna, notableWork, Frida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frida Context triple: [Diego Luna, notableWork, Frida]
-
A.
Frida
Frida is a Swedish pop singer best known as a member of the iconic group ABBA and for her successful solo career.
-
B.
Frida
chosen
Frida is a 2002 biographical drama film about Mexican painter Frida Kahlo, noted for its vivid visual style and acclaimed performances.
-
C.
Amores perros
Amores perros is a critically acclaimed 2000 Mexican drama film that interweaves three stories connected by a car accident, noted for its gritty realism and nonlinear narrative.
-
D.
The Book of Life
The Book of Life is a 2014 animated fantasy film that follows a young man’s journey through the Land of the Remembered and the Land of the Forgotten, blending Mexican folklore with a vibrant visual style.
-
E.
Thelma
Thelma is a feminine given name of Greek origin meaning "will" or "volition," popular in English-speaking countries during the early 20th century.
- 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_69c008f873a481909b4d9f7e2db3c37d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f874bd081909cccfc25767ee6fa |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027fa22108190b55c07fe930ca4f1 |
completed | March 22, 2026, 5:33 p.m. |
Created at: March 22, 2026, 3:34 p.m.