Triple
T13703326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wendy & Lisa |
E328572
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Eric Leeds |
E798153
|
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: Eric Leeds | Statement: [Wendy & Lisa, associatedAct, Eric Leeds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Leeds Context triple: [Wendy & Lisa, associatedAct, Eric Leeds]
-
A.
Eric Leeds
chosen
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.
-
B.
Eric Leighton
Eric Leighton is a film director and animator best known for co-directing Disney's 2000 computer-animated feature "Dinosaur."
-
C.
Ned Leeds
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.
-
D.
Mike Leander
Mike Leander was a British arranger, songwriter, and record producer best known for his work with artists like Gary Glitter and for arranging the Beatles’ “She’s Leaving Home.”
-
E.
Eric McLeod
Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad162158819089280ee1e6b5c2cf |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a8437af481909f91bb41bfdac53a |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:54 p.m.