Triple
T14806617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Captain Vidal |
E348053
|
entity |
| Predicate | kills |
P19780
|
FINISHED |
| Object | Doctor Ferreiro |
E343683
|
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: Doctor Ferreiro | Statement: [Captain Vidal, kills, Doctor Ferreiro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doctor Ferreiro Context triple: [Captain Vidal, kills, Doctor Ferreiro]
-
A.
Doctor Ferreiro
chosen
Doctor Ferreiro is a compassionate and principled physician in the film "Pan's Labyrinth," who secretly aids the anti-Franco resistance.
-
B.
Dr. Casares
Dr. Casares is a compassionate, aging doctor and caretaker at a remote orphanage in Guillermo del Toro’s gothic horror film "The Devil’s Backbone."
-
C.
Dr. Vertiz
Dr. Vertiz is a Mexico City Metrobús station serving the Colonia Narvarte area.
-
D.
Dr. Vigil
Dr. Vigil is a compassionate and clear-sighted doctor who serves as a moral and rational counterpoint to the Consul’s self-destruction in Malcolm Lowry’s novel "Under the Volcano."
-
E.
Doctor De Soto
Doctor De Soto is a popular children's picture book by William Steig about a kind, clever mouse dentist who outwits a dangerous fox patient.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf33b6a08190ab6a4cfeda2cc09c |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c6b3008190a0fac1dace40361a |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:40 a.m.