Triple
T396419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ozzie Nelson |
E8991
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | David Nelson |
E152530
|
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: David Nelson | Statement: [Ozzie Nelson, workedWith, David Nelson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Nelson Context triple: [Ozzie Nelson, workedWith, David Nelson]
-
A.
David Nelson
chosen
David Nelson was an American actor and director best known as the elder son on the classic television series "The Adventures of Ozzie and Harriet."
-
B.
James Yancey
James Yancey, better known as J Dilla, was a highly influential American record producer and rapper renowned for his innovative, soulful approach to hip-hop production.
-
C.
Johnston McCulley
Johnston McCulley was an American writer best known as the creator of the swashbuckling masked hero Zorro.
-
D.
William Nolan
William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
-
E.
Ken Morris
Ken Morris is a technology entrepreneur best known as a founder of the enterprise software company PeopleSoft.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec8a941081909a152fda0ce24a98 |
completed | Feb. 28, 2026, 1:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0e5413448190bd9112e2b3d83826 |
completed | March 8, 2026, 5:51 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.