Triple
T14303538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Lemmon |
E354629
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Thunder in Paradise |
E408594
|
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: Thunder in Paradise | Statement: [Chris Lemmon, notableWork, Thunder in Paradise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thunder in Paradise Context triple: [Chris Lemmon, notableWork, Thunder in Paradise]
-
A.
Thunder in Paradise
chosen
Thunder in Paradise is a 1990s action-adventure television series starring Hulk Hogan as a former Navy SEAL who fights crime using a high-tech speedboat.
-
B.
Sweet Thunder
Sweet Thunder is a jazz album by trombonist Delfeayo Marsalis that reimagines Duke Ellington and Billy Strayhorn’s music from their suite inspired by Shakespeare’s Othello.
-
C.
I’ll Be Thunder
"I’ll Be Thunder" is a song by Tina Turner featured on her 1986 studio album "Break Every Rule."
-
D.
Welcome to Paradise
"Welcome to Paradise" is a popular punk rock song by Green Day, best known from their breakthrough 1994 album "Dookie."
-
E.
Thunder and Rain
Thunder and Rain is a contemporary Western-themed novel by Charles Martin that blends suspense, romance, and redemption in a modern Texas setting.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85afabe48190926d6098047f4bcf |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d2a56a4819095b5c2164b1ad9fb |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:12 a.m.