Triple
T14785464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martín (Hache) |
E347511
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Kathy Saavedra |
E1239685
|
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: Kathy Saavedra | Statement: [Martín (Hache), screenwriter, Kathy Saavedra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kathy Saavedra Context triple: [Martín (Hache), screenwriter, Kathy Saavedra]
-
A.
Kathy Saavedra
chosen
Kathy Saavedra is a screenwriter best known for her work on the film "Un lugar en el mundo."
-
B.
Kathleen Avila
Kathleen Avila is a fictional character appearing in the crime drama film "Internal Affairs."
-
C.
Lisa Benavides
Lisa Benavides is an American actress known for her work in independent films and as the wife of actor-director Tim Blake Nelson.
-
D.
Teresa Mendoza
Teresa Mendoza is a resilient Mexican woman who rises from a poor background to become a powerful drug cartel leader in the crime drama "Queen of the South."
-
E.
Brenda Serrano
Brenda Serrano is the central protagonist of the television series "My Generation," around whose life and experiences the show's narrative primarily revolves.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9f1c9c8190a8b28ba0ddd3e2e3 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfb725d48190bdca0a85ca7f440c |
completed | May 10, 2026, 6:34 p.m. |
Created at: April 10, 2026, 1:31 a.m.