Triple
T21634210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Kill Giants |
E533911
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Louis-Philippe Côté
Louis-Philippe Côté is a film editor best known for his work on the movie "I Kill Giants."
|
E1497466
|
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: Louis-Philippe Côté | Statement: [I Kill Giants, editedBy, Louis-Philippe Côté]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louis-Philippe Côté Context triple: [I Kill Giants, editedBy, Louis-Philippe Côté]
-
A.
Guillaume Côté
Guillaume Côté is a renowned Canadian ballet dancer and choreographer, celebrated as one of the leading principal artists of his generation.
-
B.
Jean-François Côté
Jean-François Côté is a Canadian composer best known for creating music for Cirque du Soleil productions, including the show "Corteo."
-
C.
Louis-Philippe Demers
Louis-Philippe Demers was a Canadian lawyer and politician who served as a Liberal member of the House of Commons in the early 20th century.
-
D.
Philippe Beaudoin
Philippe Beaudoin is a Canadian computer scientist and entrepreneur known for co-founding the artificial intelligence company Element AI.
-
E.
Guillaume Desjardins
Guillaume Desjardins is a machine learning researcher known for his work in deep learning and reinforcement learning, including collaborations with prominent figures such as Yuval Tassa.
- 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: Louis-Philippe Côté Triple: [I Kill Giants, editedBy, Louis-Philippe Côté]
Generated description
Louis-Philippe Côté is a film editor best known for his work on the movie "I Kill Giants."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Louis-Philippe Côté Target entity description: Louis-Philippe Côté is a film editor best known for his work on the movie "I Kill Giants."
-
A.
Guillaume Côté
Guillaume Côté is a renowned Canadian ballet dancer and choreographer, celebrated as one of the leading principal artists of his generation.
-
B.
Jean-François Côté
Jean-François Côté is a Canadian composer best known for creating music for Cirque du Soleil productions, including the show "Corteo."
-
C.
Louis-Philippe Demers
Louis-Philippe Demers was a Canadian lawyer and politician who served as a Liberal member of the House of Commons in the early 20th century.
-
D.
Philippe Beaudoin
Philippe Beaudoin is a Canadian computer scientist and entrepreneur known for co-founding the artificial intelligence company Element AI.
-
E.
Guillaume Desjardins
Guillaume Desjardins is a machine learning researcher known for his work in deep learning and reinforcement learning, including collaborations with prominent figures such as Yuval Tassa.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52192e388190a3f316e33f452561 |
completed | April 27, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a1e0b9c6c8190ba3ea8f766136992 |
completed | May 17, 2026, 7:59 p.m. |
| NEDg | Description generation | batch_6a0a20785d088190a7b53c057dca6eb9 |
completed | May 17, 2026, 8:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a20efd3448190bd348e9af704bb8e |
completed | May 17, 2026, 8:11 p.m. |
Created at: April 16, 2026, 6:35 p.m.