Triple
T23061843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pour elle |
E574922
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Lancelot Roch
Lancelot Roch is an actor known for his role in the French film "Pour elle" (released internationally as "Anything for Her").
|
E1567963
|
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: Lancelot Roch | Statement: [Pour elle, starring, Lancelot Roch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lancelot Roch Context triple: [Pour elle, starring, Lancelot Roch]
-
A.
Lancelot Heath
Lancelot Heath is an individual notable enough to be recognized as a prominent bearer of the surname Heath.
-
B.
Lancelot Holland
Lancelot Holland was a British Royal Navy admiral best known for leading the battlecruiser force that engaged the German battleship Bismarck during World War II.
-
C.
Lancelot
Lancelot is the codename of Roxy Morton, a skilled Kingsman agent in the "Kingsman" film series.
-
D.
Lancelot
Lancelot is a 1977 novel by American author Walker Percy that explores themes of morality, sin, and modern alienation through the obsessive reflections of its troubled protagonist.
-
E.
Lancelot de Carle
Lancelot de Carle was a 16th-century French diplomat, poet, and cleric best known for his eyewitness verse account of the fall and execution of Anne Boleyn.
- 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: Lancelot Roch Triple: [Pour elle, starring, Lancelot Roch]
Generated description
Lancelot Roch is an actor known for his role in the French film "Pour elle" (released internationally as "Anything for Her").
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lancelot Roch Target entity description: Lancelot Roch is an actor known for his role in the French film "Pour elle" (released internationally as "Anything for Her").
-
A.
Lancelot Heath
Lancelot Heath is an individual notable enough to be recognized as a prominent bearer of the surname Heath.
-
B.
Lancelot Holland
Lancelot Holland was a British Royal Navy admiral best known for leading the battlecruiser force that engaged the German battleship Bismarck during World War II.
-
C.
Lancelot
Lancelot is the codename of Roxy Morton, a skilled Kingsman agent in the "Kingsman" film series.
-
D.
Lancelot
Lancelot is a 1977 novel by American author Walker Percy that explores themes of morality, sin, and modern alienation through the obsessive reflections of its troubled protagonist.
-
E.
Lancelot de Carle
Lancelot de Carle was a 16th-century French diplomat, poet, and cleric best known for his eyewitness verse account of the fall and execution of Anne Boleyn.
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1899ff96081908d89a07a3b1065c8 |
completed | April 29, 2026, 4:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c0ae8b98881909915a157f54762d7 |
completed | May 19, 2026, 7:02 a.m. |
| NEDg | Description generation | batch_6a0c0b7fe7848190a8e27b09748b735e |
completed | May 19, 2026, 7:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c0bf256688190b169657a7831f6d0 |
completed | May 19, 2026, 7:06 a.m. |
Created at: April 17, 2026, 3:55 p.m.