Triple
T5319450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3 Pears |
E121634
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Take Hold of My Hand (reprise) |
E511540
|
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: Take Hold of My Hand (reprise) | Statement: [3 Pears, hasPart, Take Hold of My Hand (reprise)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Take Hold of My Hand (reprise) Context triple: [3 Pears, hasPart, Take Hold of My Hand (reprise)]
-
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.
Take My Hand
"Take My Hand" is a song featured on the soundtrack of the 1993 romantic crime film *True Romance*.
-
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.
Hand in Hand
"Hand in Hand" is a song by Paul McCartney from his 2018 studio album Egypt Station.
-
E.
Give Me Your Hand
"Give Me Your Hand" is the official regimental march associated with the British Army’s Royal Army Pay Corps.
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd855407048190bcdb97c7098cc2aa |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21b8692881908f04d8cfd7d3d10d |
completed | March 21, 2026, 10:54 p.m. |
Created at: March 20, 2026, 1:59 p.m.