Triple
T15632593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucian Buscemi |
E375852
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Jo Andres |
E375851
|
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: Jo Andres | Statement: [Lucian Buscemi, mother, Jo Andres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jo Andres Context triple: [Lucian Buscemi, mother, Jo Andres]
-
A.
Jo Andres
chosen
Jo Andres was an American filmmaker, choreographer, and artist known for her experimental films and multimedia performance work.
-
B.
Jose Andrada
Jose Andrada was a notable figure in the Philippine Navy, recognized for his contributions to the service and honored through the naming of a naval station after him.
-
C.
Leon Ichaso
Leon Ichaso was a Cuban-American film and television director known for his gritty, character-driven works exploring Latino and immigrant experiences in the United States.
-
D.
Tomas Arana
Tomas Arana is an American actor known for his supporting roles in films such as "Gladiator," "The Hunt for Red October," and "The Dark Knight Rises."
-
E.
Juan Alejandrez
Juan Alejandrez is a character in Laura Esquivel's novel "Like Water for Chocolate," known primarily as the husband of Gertrudis.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb7338881909f3c430bb73f91d1 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff678ebe288190bd43a72e99e7aa22 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:14 a.m.