Triple
T10124469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spider-Man: No Way Home |
E226176
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Ned Leeds |
E820271
|
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: Ned Leeds | Statement: [Spider-Man: No Way Home, featuresCharacter, Ned Leeds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ned Leeds Context triple: [Spider-Man: No Way Home, featuresCharacter, Ned Leeds]
-
A.
Ned Leeds
chosen
Ned Leeds is Peter Parker’s best friend and comic-relief sidekick in the Marvel Cinematic Universe, known for his enthusiastic support of Spider-Man and his humorous, nerdy personality.
-
B.
Eric Leeds
Eric Leeds is an American saxophonist and composer best known for his long-time collaboration with Prince across projects like The New Power Generation and Madhouse.
-
C.
Ned Ryerson
Ned Ryerson is the overly enthusiastic insurance salesman and former classmate who repeatedly accosts Phil Connors in the film "Groundhog Day."
-
D.
Eric Leach
Eric Leach is a cinematographer best known for his work on the psychological thriller film "Enter Nowhere."
-
E.
Ned Sherwood
Ned Sherwood is the central protagonist of the 1957 film noir "The Big Boodle," a croupier who becomes entangled in a dangerous counterfeit money scheme in Havana.
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd2ebe4548190a484c145639d92f0 |
completed | April 2, 2026, 2:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cc5cb62081908f4725de14916c11 |
completed | April 5, 2026, 8:55 p.m. |
Created at: March 30, 2026, 9:05 p.m.