Triple
T20723897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scorpius Malfoy |
E509385
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | John Tiffany |
—
|
NE NERFINISHED |
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: John Tiffany | Statement: [Scorpius Malfoy, creator, John Tiffany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Tiffany Context triple: [Scorpius Malfoy, creator, John Tiffany]
-
A.
John Tiffany
chosen
John Tiffany is a British theatre director best known for co-creating and directing the stage play "Harry Potter and the Cursed Child."
-
B.
Ben Templesmith
Ben Templesmith is an Australian comic book artist and writer best known for his distinctive, atmospheric horror artwork on titles such as "30 Days of Night" and "Fell."
-
C.
Cecil Balmond
Cecil Balmond is a Sri Lankan–British designer, engineer, and theorist renowned for his innovative structural collaborations on landmark architectural projects worldwide.
-
D.
Michael Reynolds
Michael Reynolds is an American architect best known for pioneering the sustainable "Earthship" style of off-grid, eco-friendly housing built from recycled materials.
-
E.
Tim Ives
Tim Ives is an American cinematographer known for his work on acclaimed film and television projects, including series like "Stranger Things" and "Girls."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1e662f08190917ee043612d413e |
completed | April 21, 2026, 12:16 a.m. |
Created at: April 16, 2026, 12:28 p.m.