Triple
T22541322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Accidental Husband |
E557294
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Andrea Guerra |
—
|
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: Andrea Guerra | Statement: [The Accidental Husband, musicBy, Andrea Guerra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrea Guerra Context triple: [The Accidental Husband, musicBy, Andrea Guerra]
-
A.
Andrea Guerra
chosen
Andrea Guerra is an Italian composer best known for his film scores, including his work on major international productions.
-
B.
Andrea Navedo
Andrea Navedo is an American actress best known for her role as Xiomara Villanueva on the television series "Jane the Virgin."
-
C.
Andrea Roa
Andrea Roa is a film producer known for her work on the psychological horror movie "It Comes at Night."
-
D.
Andrea Salinas
Andrea Salinas is a Democratic U.S. Representative from Oregon known for her work on voting rights, environmental policy, and healthcare access.
-
E.
Andrea Solari
Andrea Solari was an Italian Renaissance painter from Milan, known for his religious works and for being influenced by Leonardo da Vinci.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f3251808190a72b849157854d8d |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:51 p.m.