Triple
T14655779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pain and Glory |
E344102
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Teresa Font |
E285518
|
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: Teresa Font | Statement: [Pain and Glory, editedBy, Teresa Font]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teresa Font Context triple: [Pain and Glory, editedBy, Teresa Font]
-
A.
Teresa Font
chosen
Teresa Font is a Spanish film editor known for her work on numerous acclaimed films, including the drama "Total Eclipse."
-
B.
Teresa Barba
Teresa Barba was the wife and close companion of renowned Catalan painter and sculptor Antoni Tàpies.
-
C.
Teresa Borri
Teresa Borri was the second wife of Italian novelist and poet Alessandro Manzoni, known primarily for her association with the celebrated author of "The Betrothed."
-
D.
Teresa Pomar
Teresa Pomar was a prominent Mexican researcher, curator, and promoter of folk and popular art, recognized for her extensive work preserving and documenting Mexico’s artisanal traditions.
-
E.
Teresa Panza
Teresa Panza is a fictional character in Miguel de Cervantes' "Don Quixote," known as the practical and down-to-earth wife of the squire Sancho Panza.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51a562c819098971447db4b29f7 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5de0b98819094c32765e4cb3f9c |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:27 a.m.