Triple
T14456110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mood Indigo (2013 film) |
E358462
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Omar Sy |
E127376
|
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: Omar Sy | Statement: [Mood Indigo (2013 film), stars, Omar Sy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Omar Sy Context triple: [Mood Indigo (2013 film), stars, Omar Sy]
-
A.
Omar Sy
chosen
Omar Sy is a French actor and comedian best known internationally for his breakout role in the film "The Intouchables" and subsequent work in movies like "Jurassic World" and the series "Lupin."
-
B.
Tahar Rahim
Tahar Rahim is a French actor acclaimed for his intense, nuanced performances in films such as "A Prophet" and various international productions.
-
C.
Elyes Gabel
Elyes Gabel is a British actor known for roles in series such as "Game of Thrones," "Scorpion," and various UK television dramas.
-
D.
Jamel Debbouze
Jamel Debbouze is a French-Moroccan comedian and actor known for his energetic stand-up performances and prominent roles in popular French films such as "Amélie" and "Asterix & Obelix: Mission Cleopatra."
-
E.
Safy Boutella
Safy Boutella is an Algerian musician and composer known for his influential role in modern Algerian music and film scores.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a9c0d48190ae015e5e0db806ca |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d890be88190afe61dde0d1e75a8 |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 10, 2026, 1:19 a.m.