Triple
T9131723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mélanie Thierry |
E219101
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Ombline
Ombline is a French drama film in which Mélanie Thierry delivers a powerful performance as a young mother navigating life in prison.
|
E780225
|
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: Ombline | Statement: [Mélanie Thierry, notableWork, Ombline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ombline Context triple: [Mélanie Thierry, notableWork, Ombline]
-
A.
Olib
Olib is a small Croatian island in the Adriatic Sea, known for its tranquil atmosphere, clear waters, and traditional Mediterranean village life.
-
B.
Olesko
Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
-
C.
Harline
Harline is a surname most notably associated with Leigh Harline, an American film composer known for his work with Walt Disney Studios.
-
D.
Trinetta
Trinetta is a character from the animated television series "Who Asked You?," known for her distinctive personality and role in the show's comedic narrative.
-
E.
Tealing
Tealing is a small rural village in eastern Scotland, situated in the Angus council area just north of Dundee.
- 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: Ombline Triple: [Mélanie Thierry, notableWork, Ombline]
Generated description
Ombline is a French drama film in which Mélanie Thierry delivers a powerful performance as a young mother navigating life in prison.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ombline Target entity description: Ombline is a French drama film in which Mélanie Thierry delivers a powerful performance as a young mother navigating life in prison.
-
A.
Olib
Olib is a small Croatian island in the Adriatic Sea, known for its tranquil atmosphere, clear waters, and traditional Mediterranean village life.
-
B.
Olesko
Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
-
C.
Harline
Harline is a surname most notably associated with Leigh Harline, an American film composer known for his work with Walt Disney Studios.
-
D.
Trinetta
Trinetta is a character from the animated television series "Who Asked You?," known for her distinctive personality and role in the show's comedic narrative.
-
E.
Tealing
Tealing is a small rural village in eastern Scotland, situated in the Angus council area just north of Dundee.
- 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8ceea6c81909f368f12dac1649c |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d047dc25208190a720910e6d43199b |
completed | April 3, 2026, 11:06 p.m. |
| NEDg | Description generation | batch_69d049058dec81909854965276252808 |
completed | April 3, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d049913b7481909ccbaf4999e37c06 |
completed | April 3, 2026, 11:13 p.m. |
Created at: March 30, 2026, 7:18 p.m.