Triple
T20782786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take Hold of My Hand |
E511540
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Take Hold of My Hand |
—
|
NE NERFINISHED |
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: Take Hold of My Hand | Statement: [Take Hold of My Hand, hasTitle, Take Hold of My Hand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Take Hold of My Hand Context triple: [Take Hold of My Hand, hasTitle, Take Hold of My Hand]
-
A.
Take Hold of My Hand
chosen
"Take Hold of My Hand" is a song by American singer-songwriter Dwight Yoakam from his album "3 Pears."
-
B.
Hold My Hand
"Hold My Hand" is a popular country song by American singer Darius Rucker, known for its uplifting lyrics and crossover appeal.
-
C.
Hold My Hand
"Hold My Hand" is a power ballad by Lady Gaga that serves as the emotional theme song for the 2022 film Top Gun: Maverick.
-
D.
Hold My Hand
"Hold My Hand" is a 2015 upbeat dance-pop song by English singer Jess Glynne that became one of her signature hits, known for its catchy chorus and empowering lyrics.
-
E.
Who’s Gonna Hold Her Hand
"Who’s Gonna Hold Her Hand" is a song featured on the album *String Along* by The Kingston Trio.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28870e481909e7cbcdd6d4bc247 |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:38 p.m.