Triple
T15310899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Reflecting Skin |
E366032
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Les Healey
Les Healey is a film editor known for his work on the 1990 British-Canadian horror drama film "The Reflecting Skin."
|
E1150684
|
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: Les Healey | Statement: [The Reflecting Skin, editedBy, Les Healey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Les Healey Context triple: [The Reflecting Skin, editedBy, Les Healey]
-
A.
Les Healey
Les Healey is a film editor best known for his work on the science fiction classic "Blade Runner."
-
B.
Tim Healey
Tim Healey is a British electronic music producer and DJ known for his work in house, electro, and breakbeat genres.
-
C.
Michael Healey
Michael Healey is a Canadian playwright and actor best known for his acclaimed play "The Drawer Boy" and his contributions to contemporary Canadian theatre.
-
D.
Tom Healey
Tom Healey is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the surname Healey.
-
E.
Daniel Heath
Daniel Heath is a songwriter and composer best known for co-writing the title track of the film "Big Eyes" with Lana Del Rey.
- 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: Les Healey Triple: [The Reflecting Skin, editedBy, Les Healey]
Generated description
Les Healey is a film editor known for his work on the 1990 British-Canadian horror drama film "The Reflecting Skin."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Les Healey Target entity description: Les Healey is a film editor known for his work on the 1990 British-Canadian horror drama film "The Reflecting Skin."
-
A.
Les Healey
Les Healey is a film editor best known for his work on the science fiction classic "Blade Runner."
-
B.
Tim Healey
Tim Healey is a British electronic music producer and DJ known for his work in house, electro, and breakbeat genres.
-
C.
Michael Healey
Michael Healey is a Canadian playwright and actor best known for his acclaimed play "The Drawer Boy" and his contributions to contemporary Canadian theatre.
-
D.
Tom Healey
Tom Healey is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the surname Healey.
-
E.
Daniel Heath
Daniel Heath is a songwriter and composer best known for co-writing the title track of the film "Big Eyes" with Lana Del Rey.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd176708190b0f6ba17aed92f8e |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8a20c1881909b387aed6f532c3d |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fefa339f988190b470e052c853e4f8 |
completed | May 9, 2026, 9:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefac48df08190ad58e9d455546a57 |
completed | May 9, 2026, 9:13 a.m. |
Created at: April 10, 2026, 3:16 a.m.