Triple
T2666887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimmy Van Heusen |
E55656
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | All the Way |
E270874
|
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: All the Way | Statement: [Jimmy Van Heusen, notableWork, All the Way]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: All the Way Context triple: [Jimmy Van Heusen, notableWork, All the Way]
-
A.
All the Way
chosen
"All the Way" is a classic popular song closely associated with Frank Sinatra, featuring romantic lyrics by Sammy Cahn and music by Jimmy Van Heusen.
-
B.
The Greatest
"The Greatest" is a 1977 biographical sports drama film about Muhammad Ali, in which Ali portrays himself.
-
C.
Are You Gonna Go My Way
"Are You Gonna Go My Way" is a 1993 rock song and album by Lenny Kravitz known for its Hendrix-inspired guitar riff and energetic, retro-styled sound.
-
D.
Get on Up
Get on Up is a 2014 biographical drama film about the life and career of soul music legend James Brown.
-
E.
Boardwalk Hall
Boardwalk Hall is a historic indoor arena and entertainment venue in Atlantic City, New Jersey, known for hosting major concerts, sporting events, and the Miss America pageant.
- 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd97040e48190b0a87489f108810e |
completed | March 7, 2026, 7:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa05b008881908049751b73e800d0 |
completed | March 10, 2026, 4:38 a.m. |
Created at: March 6, 2026, 9:54 p.m.