Triple
T2997353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Get It Back |
E81101
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Get It Back |
E81101
|
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: Get It Back | Statement: [Get It Back, title, Get It Back]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Get It Back Context triple: [Get It Back, title, Get It Back]
-
A.
Get It Back
chosen
"Get It Back" is a song by Whitney Houston featured on her 1998 album *My Love Is Your Love*.
-
B.
Come and Get It
Come and Get It is a 1936 American drama film, co-directed by Howard Hawks and William Wyler, best known for featuring Walter Brennan in an Oscar-winning supporting performance.
-
C.
You Got It
"You Got It" is a 1989 rock-pop song by Roy Orbison, released posthumously and celebrated as one of his signature late-career hits.
-
D.
Till I Get It Right
"Till I Get It Right" is a country song best known for Tammy Wynette’s 1972 hit recording, noted for its introspective lyrics about perseverance in love.
-
E.
Bounce Back
"Bounce Back" is a 2016 hit single by American rapper Big Sean known for its motivational theme about recovering from setbacks and its strong commercial success.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99f612148190a5a565ba2ecc4fc0 |
completed | March 8, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e419e508190be23a2d413357058 |
completed | March 11, 2026, 8:56 a.m. |
Created at: March 8, 2026, 2:59 p.m.