Triple
T5648400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Ingram |
E124439
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | One Hundred Ways |
E326734
|
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: One Hundred Ways | Statement: [James Ingram, notableWork, One Hundred Ways]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: One Hundred Ways Context triple: [James Ingram, notableWork, One Hundred Ways]
-
A.
One Hundred Ways
chosen
"One Hundred Ways" is a smooth R&B ballad best known for James Ingram’s soulful vocal performance and its appearance on Quincy Jones’s acclaimed 1981 album "The Dude."
-
B.
One Hundred Easy Ways
One Hundred Easy Ways is a comedic song from the 1953 Broadway musical Wonderful Town, known for its witty lyrics about a woman's humorous misadventures in romance.
-
C.
Some Way
"Some Way" is a hip-hop track by Nav that helped raise his profile in the rap scene with its melodic style and introspective lyrics.
-
D.
Any Which Way You Can
Any Which Way You Can is a 1980 action-comedy film starring Clint Eastwood that follows a bare-knuckle brawler and his orangutan companion in a series of misadventures.
-
E.
So Many Ways
So Many Ways is a Thoroughbred racehorse known for her success on the American racing circuit.
- 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022d1534c8190ac4828e44300fb91 |
completed | March 22, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d8cea4481908fccb8ed102b18a1 |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 3:42 p.m.