Triple
T2662257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Nye the Science Guy |
E54751
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | James McKenna |
E291099
|
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: James McKenna | Statement: [Bill Nye the Science Guy, executiveProducer, James McKenna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James McKenna Context triple: [Bill Nye the Science Guy, executiveProducer, James McKenna]
-
A.
James McKenna
James McKenna is an actor known for his role in the Australian film "Romper Stomper."
-
B.
James McKenna
chosen
James McKenna is a television writer and producer best known as one of the creators of the educational science series "Bill Nye the Science Guy."
-
C.
Rob McKenna
Rob McKenna is a perpetually rain-plagued lorry driver in Douglas Adams' "So Long, and Thanks for All the Fish," humorously revealed to be a Rain God unknowingly worshipped by clouds.
-
D.
Rob McKenna
Rob McKenna is an American attorney and politician best known for serving as the Attorney General of Washington State.
-
E.
James McEachin
James McEachin is an American actor and author best known for his numerous film and television roles from the 1960s onward, as well as his work as a novelist and public speaker.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd969eff08190a206ad6424ba34d6 |
completed | March 7, 2026, 7:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb674ed4c8190a398fccdbd30e9c2 |
completed | March 10, 2026, 6:13 a.m. |
Created at: March 6, 2026, 9:53 p.m.