Triple
T31530701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie-Octobre |
E804469
|
entity |
| Predicate | characterPlayedBy_Lino Ventura |
P197236
|
FINISHED |
| Object | Costa Valenti |
—
|
NE NERFINISHED |
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: Costa Valenti | Statement: [Marie-Octobre, characterPlayedBy_Lino Ventura, Costa Valenti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterPlayedBy_Lino Ventura Context triple: [Marie-Octobre, characterPlayedBy_Lino Ventura, Costa Valenti]
-
A.
characterPlayedBy_Charles Bronson
Indicates that a given character is portrayed or acted by Charles Bronson.
-
B.
characterVoicedBy_James Brolin
Indicates that a character is voiced by James Brolin in a performance or production.
-
C.
characterPlayedBy_Freddy Rodríguez
Indicates that a given character is portrayed or played by the actor Freddy Rodríguez.
-
D.
characterPlayedBy Edward G. Robinson
Indicates that a given character is portrayed or acted by Edward G. Robinson.
-
E.
characterVoicedBy Denis Leary
Indicates that the character is voiced by Denis Leary.
- F. None of above. chosen
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_69f348d03ef88190a2b73d7b94b9e02d |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe7eb4b8348190bb19d35766189ed4 |
completed | May 9, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69fe7c35d2148190ab952e54feda1e76 |
completed | May 9, 2026, 12:13 a.m. |
| PDg | Predicate description generation | batch_69fe7eb31b04819081be531fd9f8a78c |
completed | May 9, 2026, 12:24 a.m. |
Created at: April 30, 2026, 10:01 p.m.