Triple
T36327527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Handy Man (Jimmy Jones song) |
E894526
|
entity |
| Predicate | hasWhistlingHook |
P185137
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Handy Man (Jimmy Jones song), hasWhistlingHook, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWhistlingHook Context triple: [Handy Man (Jimmy Jones song), hasWhistlingHook, true]
-
A.
hasWhisperedHook
Indicates that one entity has subtly or secretly influenced, enticed, or drawn in another, like a quiet or covert persuasive pull.
-
B.
hasBells
Indicates that an entity possesses or is equipped with one or more bells.
-
C.
hasChorusHook
Indicates that a musical work features a prominent, recurring chorus section that serves as a memorable hook.
-
D.
hasCatchySound
Indicates that something possesses an appealing, memorable, or attractive auditory quality.
-
E.
hasSaxophoneRiff
Indicates that an entity (such as a song or musical piece) contains or features a saxophone riff as part of its composition or performance.
- F. None of above. chosen
Provenance (4 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_69f76e4dcf088190a6c3216c209cab52 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb1d6b70819091227bd011734d19 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7ba6c27e081908868a2b50d1d603c |
completed | May 3, 2026, 9:13 p.m. |
Created at: May 3, 2026, 4:09 p.m.