Triple
T17062120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hey There |
E413985
|
entity |
| Predicate | lyricsBy |
P1141
|
FINISHED |
| Object | Jerry Ross |
E172355
|
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: Jerry Ross | Statement: [Hey There, lyricsBy, Jerry Ross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jerry Ross Context triple: [Hey There, lyricsBy, Jerry Ross]
-
A.
Jerry Ross
chosen
Jerry Ross was an American songwriter and lyricist best known for co-writing classic pop and soul hits in the 1960s.
-
B.
Jim Backus
Jim Backus was an American actor and voice artist best known for voicing the cartoon character Mr. Magoo and portraying Thurston Howell III on the television series "Gilligan's Island."
-
C.
George Schlatter
George Schlatter is an American television producer and director best known for creating and producing the groundbreaking sketch comedy series "Rowan & Martin's Laugh-In."
-
D.
Buddy Hackett
Buddy Hackett was an American comedian and actor known for his distinctive voice, rubber-faced expressions, and roles in films like "The Music Man" and "It's a Mad, Mad, Mad, Mad World."
-
E.
Sidney Radner
Sidney Radner was an American magician and renowned Houdini collector best known for amassing one of the world’s largest and most important collections of Harry Houdini memorabilia.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7dea7481909e3e0bc836d27336 |
completed | April 18, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139f346f0819094a430a11e361bac |
completed | May 11, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:34 a.m.