Triple
T15193203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hold Back Time |
E363073
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Hold Back Time |
E363073
|
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 Back Time | Statement: [Hold Back Time, title, Hold Back Time]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hold Back Time Context triple: [Hold Back Time, title, Hold Back Time]
-
A.
Hold Back Time
chosen
"Hold Back Time" is a song featured on the collaborative album *Orange Crate Art* by Brian Wilson and Van Dyke Parks.
-
B.
Hold Back
"Hold Back" is a song featured on the Rolling Stones' 1981 album "Dirty Work."
-
C.
This Time for Keeps
"This Time for Keeps" is a 1947 MGM musical film best known for its aquatic sequences starring Esther Williams and featuring Ray McDonald in a prominent role.
-
D.
That Time
"That Time" is a short monologue play by Samuel Beckett, known for its fragmented narrative and demanding performance, notably interpreted by actress Billie Whitelaw.
-
E.
Bad Time
"Bad Time" is a song by the Australian rock band The Roulettes, recognized as one of their notable tracks.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067eb710819085211fd05d5fa5f0 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec8995bb08190bd7f0be0a0fcf1e7 |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:10 a.m.