Triple
T7451764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disenchanted |
E172023
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Simon Duggan |
E325824
|
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: Simon Duggan | Statement: [Disenchanted, cinematographyBy, Simon Duggan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simon Duggan Context triple: [Disenchanted, cinematographyBy, Simon Duggan]
-
A.
Simon Duggan
chosen
Simon Duggan is an Australian cinematographer known for his work on large-scale action and fantasy films, including the adaptation of the video game franchise "Warcraft."
-
B.
Andrew Duggan
Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
-
C.
Simon Dutton
Simon Dutton is a British actor best known for playing Simon Templar in the late-1980s television films of "The Saint."
-
D.
Martin Duggan
Martin Duggan was a prominent 19th-century St. Louis journalist and editor known for his influential role in the city's early press.
-
E.
Simon O’Connor
Simon O’Connor is a musician known for his role in the American indie rock band Modest Mouse.
- 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_69c68a66554c8190add75c65942c0317 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f38d6a8c8190af2e73c719da87a6 |
completed | March 27, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827b9a6048190bd3e3594b9cff2b7 |
completed | March 28, 2026, 7:10 p.m. |
Created at: March 27, 2026, 3:14 p.m.