Triple
T18081032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romances |
E432688
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | La Mentira |
—
|
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: La Mentira | Statement: [Romances, hasPart, La Mentira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Mentira Context triple: [Romances, hasPart, La Mentira]
-
A.
La mentira
chosen
La mentira is a popular Mexican telenovela best known for its dramatic story of love, betrayal, and revenge, and for helping solidify Kate del Castillo’s early television fame.
-
B.
Mentira
"Mentira" is a Spanish-language song featured on the album "20 Años," likely reflecting themes of deceit and emotional conflict.
-
C.
The Liar
"The Liar" is a painting by African-American artist Archibald Motley that exemplifies his vivid, jazz-age depictions of Black urban life and social interaction.
-
D.
The Liar
"The Liar" is a comic novel by Stephen Fry that follows a brilliant but deceitful young man entangled in espionage, sexuality, and storytelling.
-
E.
The Great Lie
The Great Lie is a 1941 American drama film starring Bette Davis and Mary Astor, noted for Astor’s Oscar-winning supporting performance.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9fa080081909e1a05e98185a026 |
completed | April 19, 2026, 1:34 p.m. |
Created at: April 10, 2026, 10:27 a.m.