Triple
T18532154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Major Crimes |
E452856
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Morales |
—
|
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: Morales | Statement: [Major Crimes, character, Morales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morales Context triple: [Major Crimes, character, Morales]
-
A.
Morales
chosen
Morales is a common Spanish-language surname borne by numerous notable figures across politics, sports, arts, and other fields.
-
B.
Morales
Morales is a municipality and town located in the Bolívar Department of northern Colombia.
-
C.
Morales
Morales is a town in eastern Guatemala known as a commercial and transportation hub in the Izabal region near the Caribbean coast.
-
D.
Evo Morales
Evo Morales is a Bolivian politician and former president known for his leftist, indigenous-rights-focused leadership and alignment with Latin America’s broader Bolivarian socialist movement.
-
E.
Bustamante
Bustamante is a Spanish-origin surname borne by numerous notable figures in politics, arts, and sports across the Spanish-speaking world.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533fe35288190977c85ee0bb96264 |
completed | April 19, 2026, 7:58 p.m. |
Created at: April 10, 2026, 11:37 a.m.