Triple
T14655443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Women on the Verge of a Nervous Breakdown |
E344095
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Lucía |
E219616
|
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: Lucía | Statement: [Women on the Verge of a Nervous Breakdown, character, Lucía]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucía Context triple: [Women on the Verge of a Nervous Breakdown, character, Lucía]
-
A.
Julita
Julita is a small municipality located on the island of Leyte in the Eastern Visayas region of the Philippines.
-
B.
Julita
Julita is a feminine given name, commonly used as a diminutive or variant of Julia in various languages and cultures.
-
C.
Lucia
chosen
Lucia is a feminine given name of Latin origin, commonly associated with light and used in various European cultures.
-
D.
La Madre
La Madre is a Colombian television drama series featuring María Cecilia Botero in a prominent role.
-
E.
Marita
Marita is a feminine given name commonly used as a diminutive or affectionate form of the name Marie in various European languages.
- 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.