Triple
T34809882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lo straniero (1967 film) |
E1003468
|
entity |
| Predicate | characterPortrayedByMarcelloMastroianni |
P200214
|
FINISHED |
| Object | Meursault |
—
|
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: Meursault | Statement: [Lo straniero (1967 film), characterPortrayedByMarcelloMastroianni, Meursault]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterPortrayedByMarcelloMastroianni Context triple: [Lo straniero (1967 film), characterPortrayedByMarcelloMastroianni, Meursault]
-
A.
characterPortrayedBySandrineBonnaire
Indicates that a character is portrayed or played by the actress Sandrine Bonnaire.
-
B.
characterPlayedBy_Serge Reggiani
Indicates that a given character is portrayed or acted by Serge Reggiani.
-
C.
directorPortraysCharacter
Indicates that a film director personally appears in a work portraying a specific character.
-
D.
characterPlayedByJeanGabin
Indicates that the subject is a character portrayed by the actor Jean Gabin.
-
E.
characterPlayedByMarlonBrando
Indicates that the character in question is portrayed or acted by Marlon Brando.
- 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_69f76db600b88190989abdf08fce3b27 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ff7ae5d088819089aa3b6360b6b749 |
completed | May 9, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69ff7a4df6488190bf60d675b36b1d6d |
completed | May 9, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69ff7ae4bc948190a4cd21a60d091977 |
completed | May 9, 2026, 6:20 p.m. |
Created at: May 3, 2026, 3:59 p.m.