Triple
T8035716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kung Fu Panda 3 |
E187101
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Melissa Cobb |
E687391
|
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: Melissa Cobb | Statement: [Kung Fu Panda 3, producer, Melissa Cobb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melissa Cobb Context triple: [Kung Fu Panda 3, producer, Melissa Cobb]
-
A.
Melissa Cobb
chosen
Melissa Cobb is an American film producer best known for her work on major animated features, including the Kung Fu Panda franchise.
-
B.
Lynn Collins
Lynn Collins is an American actress known for her roles in films such as X-Men Origins: Wolverine and John Carter, as well as various television series.
-
C.
Nicole Kassell
Nicole Kassell is an American film and television director and producer known for her work on acclaimed series such as Watchmen and The Leftovers.
-
D.
Beth Riesgraf
Beth Riesgraf is an American actress best known for playing the quirky thief Parker on the television series "Leverage."
-
E.
Katherine Moennig
Katherine Moennig is an American actress best known for playing the androgynous DJ Shane McCutcheon on the groundbreaking LGBTQ+ drama series "The L Word."
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ef68c6081908727d17238b3522a |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd340abffc8190bbc17aa9b775a9cb |
completed | April 1, 2026, 3:04 p.m. |
Created at: March 30, 2026, 5:22 p.m.