Triple
T5773225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omar Sy |
E127376
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Lupin
Lupin is a French mystery thriller television series, inspired by the Arsène Lupin novels, in which Omar Sy plays a gentleman thief seeking to avenge his father.
|
E544905
|
NE FINISHED |
How this triple was built (4 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: Lupin | Statement: [Omar Sy, notableWork, Lupin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lupin Context triple: [Omar Sy, notableWork, Lupin]
-
A.
Lupin
Lupin is the surname of Remus Lupin, a werewolf and former Defence Against the Dark Arts professor in the Harry Potter series.
-
B.
Mr. Nice
Mr. Nice is a 2010 biographical crime film in which Rhys Ifans portrays real-life Welsh drug smuggler Howard Marks.
-
C.
Sampati
Sampati is a character in the Indian epic Ramayana, a vulture-king known for being Jatayu’s elder brother who aids Rama’s allies by revealing Sita’s whereabouts.
-
D.
Marichi
Marichi is a revered Vedic sage (one of the Saptarishi) regarded as a mind-born son of Brahma and an important progenitor in Hindu cosmology.
-
E.
Govinda
Govinda is a revered name of the Hindu god Vishnu, particularly associated with his Krishna avatar as the protector of cows and giver of joy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lupin Triple: [Omar Sy, notableWork, Lupin]
Generated description
Lupin is a French mystery thriller television series, inspired by the Arsène Lupin novels, in which Omar Sy plays a gentleman thief seeking to avenge his father.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lupin Target entity description: Lupin is a French mystery thriller television series, inspired by the Arsène Lupin novels, in which Omar Sy plays a gentleman thief seeking to avenge his father.
-
A.
Lupin
Lupin is the surname of Remus Lupin, a werewolf and former Defence Against the Dark Arts professor in the Harry Potter series.
-
B.
Mr. Nice
Mr. Nice is a 2010 biographical crime film in which Rhys Ifans portrays real-life Welsh drug smuggler Howard Marks.
-
C.
Sampati
Sampati is a character in the Indian epic Ramayana, a vulture-king known for being Jatayu’s elder brother who aids Rama’s allies by revealing Sita’s whereabouts.
-
D.
Marichi
Marichi is a revered Vedic sage (one of the Saptarishi) regarded as a mind-born son of Brahma and an important progenitor in Hindu cosmology.
-
E.
Govinda
Govinda is a revered name of the Hindu god Vishnu, particularly associated with his Krishna avatar as the protector of cows and giver of joy.
- F. None of above. chosen
Provenance (5 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029af681081908276e99c568561ce |
completed | March 22, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e686ad88190b34e5e94145b44dc |
completed | March 22, 2026, 11:42 p.m. |
| NEDg | Description generation | batch_69c08d238384819089104f5c778ec315 |
completed | March 23, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c08dac9eec8190996f6c537777801b |
completed | March 23, 2026, 12:47 a.m. |
Created at: March 22, 2026, 3:50 p.m.