Triple
T18634478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meet the Beatles! (US) |
E455506
|
entity |
| Predicate | sideTwoTrack |
P5443
|
FINISHED |
| Object | Hold Me Tight |
—
|
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: Hold Me Tight | Statement: [Meet the Beatles! (US), sideTwoTrack, Hold Me Tight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hold Me Tight Context triple: [Meet the Beatles! (US), sideTwoTrack, Hold Me Tight]
-
A.
Hold Me Tight
chosen
"Hold Me Tight" is an early Beatles pop-rock song written primarily by Paul McCartney, known for its upbeat tempo and harmonized vocals.
-
B.
Hold Me Close
"Hold Me Close" is a 1975 pop song by English singer David Essex that became one of his biggest chart-topping hits in the UK.
-
C.
Hold Me Close
"Hold Me Close" is a pop song by British singer-songwriter Ella Henderson, showcasing her powerful vocals and emotive, radio-friendly style.
-
D.
Hold Me
"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.
-
E.
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.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fc74d208190bfda63b5b0b160cd |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 10, 2026, 11:46 a.m.