Triple
T16147820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olivier Martinez |
E391831
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Maceo Robert Martinez |
E852482
|
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: Maceo Robert Martinez | Statement: [Olivier Martinez, hasChild, Maceo Robert Martinez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maceo Robert Martinez Context triple: [Olivier Martinez, hasChild, Maceo Robert Martinez]
-
A.
Maceo Robert Martinez
chosen
Maceo Robert Martinez is the son of Academy Award–winning actress Halle Berry and French actor Olivier Martinez.
-
B.
Maceo
Maceo is a Spanish-origin surname notably associated with Cuban independence leader Antonio Maceo.
-
C.
Maceo
Maceo is a municipality in the Magdalena Medio subregion of the Antioquia Department in Colombia, known for its rural character and role in regional agriculture and mining.
-
D.
Juan Mendoza
Juan Mendoza was a notable Bolivian aviator after whom the airport in Oruro, Bolivia, is named.
-
E.
Raoul Trujillo
Raoul Trujillo is a Mexican-American actor, dancer, and choreographer known for his intense character roles in film and television, often in action and historical dramas.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d9551e081908391061b092ff31b |
completed | April 17, 2026, 11:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7a7dc3481909f933acd72d6feff |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:01 a.m.