Triple
T11382223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I've Loved You So Long |
E269623
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Laurent Grévill
Laurent Grévill is a French actor known for his work in film, television, and theater, including a notable role in the drama "I've Loved You So Long."
|
E1155945
|
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: Laurent Grévill | Statement: [I've Loved You So Long, starring, Laurent Grévill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurent Grévill Context triple: [I've Loved You So Long, starring, Laurent Grévill]
-
A.
Grégory Garestier
Grégory Garestier is a French local politician who serves as the mayor of the commune of Maurepas in the Yvelines department.
-
B.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
C.
Nicolas Bérauld
Nicolas Bérauld was a French Renaissance humanist scholar and teacher known for mentoring figures such as the printer and humanist Étienne Dolet.
-
D.
Jean-François Lepetit
Jean-François Lepetit is a French film producer known for his work on acclaimed European cinema, including the cult classic "Betty Blue."
-
E.
Frédéric Bourdin
Frédéric Bourdin is a French local politician serving as the mayor of the commune of Domont in northern France.
- 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: Laurent Grévill Triple: [I've Loved You So Long, starring, Laurent Grévill]
Generated description
Laurent Grévill is a French actor known for his work in film, television, and theater, including a notable role in the drama "I've Loved You So Long."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laurent Grévill Target entity description: Laurent Grévill is a French actor known for his work in film, television, and theater, including a notable role in the drama "I've Loved You So Long."
-
A.
Grégory Garestier
Grégory Garestier is a French local politician who serves as the mayor of the commune of Maurepas in the Yvelines department.
-
B.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
C.
Nicolas Bérauld
Nicolas Bérauld was a French Renaissance humanist scholar and teacher known for mentoring figures such as the printer and humanist Étienne Dolet.
-
D.
Jean-François Lepetit
Jean-François Lepetit is a French film producer known for his work on acclaimed European cinema, including the cult classic "Betty Blue."
-
E.
Frédéric Bourdin
Frédéric Bourdin is a French local politician serving as the mayor of the commune of Domont in northern France.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc331f188190a7f69f1aae53fb6b |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a5a733c819090a6710ab990c38d |
completed | May 9, 2026, 11:28 a.m. |
| NEDg | Description generation | batch_69ff1afa99888190bfb60fd88d840d4e |
completed | May 9, 2026, 11:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1bdb39b481908f0b1df595837bc4 |
completed | May 9, 2026, 11:34 a.m. |
Created at: April 8, 2026, 9:34 p.m.