Triple
T18789974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lola (1961 film) |
E459483
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Michel
Michel is a character in Jacques Demy's 1961 French film "Lola," involved in the romantic and emotional entanglements that drive the story.
|
E1344788
|
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: Michel | Statement: [Lola (1961 film), hasCharacter, Michel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michel Context triple: [Lola (1961 film), hasCharacter, Michel]
-
A.
Michel
Michel is the birth name of the acclaimed Egyptian actor Omar Sharif, renowned for his roles in classic films such as "Lawrence of Arabia" and "Doctor Zhivago."
-
B.
Michel
Michel is a fictional character appearing in Frederick Forsyth’s political thriller novel "The Dogs of War."
-
C.
Michel
Michel is a French given name commonly used for males, equivalent to "Michael" in English.
-
D.
Michel
Michel is the increasingly beleaguered family man in the French psychological thriller "With a Friend Like Harry..." whose life is upended by the obsessive interventions of his old acquaintance Harry.
-
E.
Jean-Michel
Jean-Michel is the straight, headstrong son of Georges in the musical "La Cage aux Folles," whose engagement to a conservative politician’s daughter drives much of the show’s central conflict.
- 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: Michel Triple: [Lola (1961 film), hasCharacter, Michel]
Generated description
Michel is a character in Jacques Demy's 1961 French film "Lola," involved in the romantic and emotional entanglements that drive the story.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michel Target entity description: Michel is a character in Jacques Demy's 1961 French film "Lola," involved in the romantic and emotional entanglements that drive the story.
-
A.
Michel
Michel is the birth name of the acclaimed Egyptian actor Omar Sharif, renowned for his roles in classic films such as "Lawrence of Arabia" and "Doctor Zhivago."
-
B.
Michel
Michel is a French given name commonly used for males, equivalent to "Michael" in English.
-
C.
Michel
Michel is a fictional character appearing in Frederick Forsyth’s political thriller novel "The Dogs of War."
-
D.
Michel
Michel is the increasingly beleaguered family man in the French psychological thriller "With a Friend Like Harry..." whose life is upended by the obsessive interventions of his old acquaintance Harry.
-
E.
Jean-Michel
Jean-Michel is the straight, headstrong son of Georges in the musical "La Cage aux Folles," whose engagement to a conservative politician’s daughter drives much of the show’s central conflict.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5978599008190aaceaff1b1e0a2c7 |
completed | April 20, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a055bba1fa0819089dcc310e257a02c |
completed | May 14, 2026, 5:20 a.m. |
| NEDg | Description generation | batch_6a0561f20a1c8190a3e4581b4a19e5b9 |
completed | May 14, 2026, 5:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05624683708190b0bd8801525227af |
completed | May 14, 2026, 5:48 a.m. |
Created at: April 10, 2026, 11:53 a.m.