Triple
T16008680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hold My Hand |
E388282
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Hold My Hand |
unclear NED1
|
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: Hold My Hand | Statement: [Hold My Hand, title, Hold My Hand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hold My Hand Context triple: [Hold My Hand, title, Hold My Hand]
-
A.
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.
-
B.
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.
-
C.
Take Hold of My Hand
"Take Hold of My Hand" is a song by American singer-songwriter Dwight Yoakam from his album "3 Pears."
-
D.
Take My Hand
"Take My Hand" is a song featured on the soundtrack of the 1993 romantic crime film *True Romance*.
-
E.
Take My Hand
"Take My Hand" is a song by Czech musician and producer Patrik Berger, known for his work in pop and electronic music.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15801a58881909805d0b90011e6ff |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf22db3481909141ddef151d0341 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:55 a.m.