Triple
T2662262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Nye the Science Guy |
E54751
|
entity |
| Predicate | originalNetwork |
P2594
|
FINISHED |
| Object | PBS |
E8587
|
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: PBS | Statement: [Bill Nye the Science Guy, originalNetwork, PBS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PBS Context triple: [Bill Nye the Science Guy, originalNetwork, PBS]
-
A.
PBS
chosen
PBS is a U.S. public television network known for educational, scientific, and cultural programming.
-
B.
CBS
CBS is a major American broadcast television network known for airing a wide range of popular news, sports, and entertainment programming nationwide.
-
C.
CBS
CBS is a leading graduate business school of Columbia University in New York City, renowned for its MBA and finance programs.
-
D.
Corporation for Public Broadcasting
The Corporation for Public Broadcasting is a nonprofit corporation created by the U.S. government to fund and support public television and radio, including networks like PBS and NPR.
-
E.
PBS Digital Studios
PBS Digital Studios is an online network of original educational and pop-culture web series that extends PBS’s public media mission to digital platforms like YouTube.
- 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_69af98d9d7148190841bac9589a3815b |
completed | March 10, 2026, 4:06 a.m. |
Created at: March 6, 2026, 9:53 p.m.