Triple
T9375816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High and Dry (music video) |
E225642
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | David Mould |
E699232
|
NE FINISHED |
How this triple was built (2 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: David Mould | Statement: [High and Dry (music video), director, David Mould]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Mould Context triple: [High and Dry (music video), director, David Mould]
-
A.
David Mould
chosen
David Mould is a music video director best known for directing the video for Take That’s hit song "Back for Good."
-
B.
Nigel Morris
Nigel Morris is a British-born entrepreneur and investor best known as the co-founder and former president of Capital One, a major U.S. financial services company.
-
C.
Alan Moulder
Alan Moulder is a renowned British record producer and audio engineer best known for his work with influential alternative rock and shoegaze bands such as My Bloody Valentine, Nine Inch Nails, and Smashing Pumpkins.
-
D.
Geoffrey Haslam
Geoffrey Haslam is a record producer best known for his work on Bette Midler’s debut album "The Divine Miss M."
-
E.
John Leeson
John Leeson is a British actor best known for voicing the robotic dog K-9 in the Doctor Who television franchise.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca842d8ee88190aaaa639aa953185d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50aa3d008190836d0fde840da7d2 |
completed | April 1, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d16115ba48819093a907bd90ac8a37 |
completed | April 4, 2026, 7:05 p.m. |
Created at: March 30, 2026, 7:44 p.m.