Triple
T10687263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Macer |
E251909
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Alejandro Gillick |
E143597
|
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: Alejandro Gillick | Statement: [Kate Macer, associatedWith, Alejandro Gillick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alejandro Gillick Context triple: [Kate Macer, associatedWith, Alejandro Gillick]
-
A.
Alejandro Gillick
chosen
Alejandro Gillick is a mysterious and ruthless former prosecutor turned covert operative who serves as a key enforcer in the Sicario film series.
-
B.
Mateo Gil
Mateo Gil is a Spanish screenwriter and film director known for his collaborations with Alejandro Amenábar on acclaimed films such as "The Sea Inside" and "Open Your Eyes."
-
C.
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.
-
D.
Juan Miguel Azpiroz
Juan Miguel Azpiroz is a cinematographer best known for his work on the film "The Way."
-
E.
Alejandro Springall
Alejandro Springall is a Mexican film producer and director known for his work in contemporary Mexican cinema, including collaborations on acclaimed genre films.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd19f0f481909eeaa75d17d9c060 |
completed | April 9, 2026, 1:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d98894cea48190877a015dcb645bee |
completed | April 10, 2026, 11:32 p.m. |
Created at: April 8, 2026, 9:10 p.m.