Triple
T16098388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baywatch |
E390545
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | David Hasselhoff |
E285415
|
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 Hasselhoff | Statement: [Baywatch, stars, David Hasselhoff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Hasselhoff Context triple: [Baywatch, stars, David Hasselhoff]
-
A.
David Hasselhoff
chosen
David Hasselhoff is an American actor, singer, and producer best known for his starring roles in the television series "Knight Rider" and "Baywatch."
-
B.
Evil Jared Hasselhoff
Evil Jared Hasselhoff is an American musician and bassist best known for his outrageous stage antics as a longtime member of the comedy rock band Bloodhound Gang.
-
C.
Ron Jeremy
Ron Jeremy is an American former adult film actor who became one of the most recognizable and controversial figures in the pornography industry.
-
D.
Scott Baio
Scott Baio is an American actor best known for his roles on the television series "Happy Days," "Joanie Loves Chachi," and "Charles in Charge."
-
E.
Ricky Kirshner
Ricky Kirshner is a prominent American television and live-event producer known for overseeing major broadcasts such as Super Bowl halftime shows and high-profile award ceremonies.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6551a48190afb7e0c61e22b541 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb9b3e708190be822f7ed588c9da |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 4:59 a.m.