Triple
T9387859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menéndez |
E225948
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Mario Menéndez |
E317964
|
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: Mario Menéndez | Statement: [Menéndez, hasNotableBearer, Mario Menéndez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mario Menéndez Context triple: [Menéndez, hasNotableBearer, Mario Menéndez]
-
A.
Mario Benjamín Menéndez
chosen
Mario Benjamín Menéndez was an Argentine military officer best known for serving as the military governor of the Falkland Islands during the 1982 Falklands War.
-
B.
Gonzalo Menendez
Gonzalo Menendez is an American actor known for his supporting roles in film and television, including appearances in action, drama, and science fiction projects.
-
C.
Antonio Reynoso
Antonio Reynoso is an American politician and community advocate who serves as the Borough President of Brooklyn, New York City.
-
D.
Miguel Vargas
Miguel Vargas is the principled Mexican narcotics official portrayed by Charlton Heston in Orson Welles's classic film noir "Touch of Evil."
-
E.
Pino Suárez
Pino Suárez is a public transit station in Mexico City that serves as a stop on the Metrobús Line 4 corridor.
- 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_69ca842e9dcc8190a264119e683cfe04 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50d562a48190875d9fe3aae25a2b |
completed | April 1, 2026, 5:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e3e1ac348190aec39a41b8b113dc |
completed | April 5, 2026, 4:24 a.m. |
Created at: March 30, 2026, 7:45 p.m.