Triple
T14611642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anytime |
E342974
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Hold Me |
E96609
|
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 Me | Statement: [Anytime, hasPart, Hold Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hold Me Context triple: [Anytime, hasPart, Hold Me]
-
A.
Hold Me
chosen
"Hold Me" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark," which was largely written and produced by the Bee Gees.
-
B.
Hold Me
"Hold Me" is an episode of the animated television series Rocket Power, centered on the adventures of a group of extreme-sports-loving kids.
-
C.
Hold Me
"Hold Me" is a 1985 pop album by American singer Laura Branigan that showcases her powerful vocals in a mix of synth-driven and adult contemporary tracks.
-
D.
Hold Me Tight
"Hold Me Tight" is an early Beatles pop-rock song written primarily by Paul McCartney, known for its upbeat tempo and harmonized vocals.
-
E.
Hold for Me
Hold for Me is a Google Phone feature that uses AI to wait on hold during calls and alerts you when a human representative returns.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb450e6588190a94488d8e71888c8 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5cbcf08819084313bf28f0bb3e1 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:25 a.m.