Triple
T35452914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis Gerardo Méndez |
E1024685
|
entity |
| Predicate | hasNotableInternationalWork |
P61425
|
FINISHED |
| Object | Narcos: Mexico |
E504629
|
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: Narcos: Mexico | Statement: [Luis Gerardo Méndez, hasNotableInternationalWork, Narcos: Mexico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableInternationalWork Context triple: [Luis Gerardo Méndez, hasNotableInternationalWork, Narcos: Mexico]
-
A.
hasNotableInternationalRecognition
Indicates that an entity has received significant recognition, awards, or acclaim from international organizations, audiences, or institutions.
-
B.
hasNotableInternationalCareer
Indicates that an entity has achieved significant recognition or impact in its professional field at an international level.
-
C.
hasNotableWorkExample
chosen
Indicates that an entity has a specific notable work cited as an example associated with it.
-
D.
hasNotableWorkSection
Indicates that a notable work is associated with a specific section or part of a larger work or document.
-
E.
hasNotableAuthorWork
Indicates that an author is notably associated with creating a particular work.
- F. None of above.
Provenance (4 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_69f76df92f108190817222e520e22268 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a384a23d9c881908280b3e002ad881b |
completed | June 21, 2026, 8:31 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:04 p.m.