Triple
T15255253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On Golden Pond |
E364628
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Doug McKeon |
E364628
|
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: Doug McKeon | Statement: [On Golden Pond, hasCastMember, Doug McKeon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doug McKeon Context triple: [On Golden Pond, hasCastMember, Doug McKeon]
-
A.
Doug McKeon
chosen
Doug McKeon is an American actor best known for his acclaimed performance as the teenage boy in the classic 1981 film "On Golden Pond."
-
B.
Dan O'Keefe
Dan O'Keefe is an American television writer and producer best known for bringing the holiday of Festivus to mainstream culture through his work on the sitcom "Seinfeld."
-
C.
Kevin McLaughlin
Kevin McLaughlin is a literary scholar and translator known for his English translation of Walter Benjamin’s "The Arcades Project."
-
D.
Mike Keegan
Mike Keegan is the New York City police detective protagonist of the 1987 neo-noir thriller film "Someone to Watch Over Me."
-
E.
Bob McLeod
Bob McLeod is an American comic book artist and inker best known for co-creating Marvel's New Mutants.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f8cb308190933c4478aa096e24 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef6def4c8190b6aed1f68d336c5a |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:13 a.m.