Triple
T22389562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | If I Let You Go |
E553478
|
entity |
| Predicate | previousWork |
P9710
|
FINISHED |
| Object | Swear It Again |
E553477
|
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: Swear It Again | Statement: [If I Let You Go, previousWork, Swear It Again]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swear It Again Context triple: [If I Let You Go, previousWork, Swear It Again]
-
A.
Swear It Again
chosen
"Swear It Again" is the debut single by Irish boy band Westlife, a pop ballad that became one of their early international hits.
-
B.
We Swear
We Swear is the English title of "Kassaman," the national anthem of Algeria written by poet Moufdi Zakaria and composed by Mohamed Fawzi.
-
C.
I Swear
"I Swear" is a popular romantic ballad best known from its 1993 country version by John Michael Montgomery and its 1994 R&B/pop cover by All-4-One.
-
D.
Once Again
"Once Again" is a popular South Korean family drama television series that follows the lives, divorces, and personal growth of four siblings and their parents.
-
E.
Once Again
"Once Again" is a creative work—likely a film, television episode, or literary piece—notable for featuring the character Maxine.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15858c13c819098fe66a50ecea7d7 |
completed | April 29, 2026, 1:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae9c00c4c819093f9eb6b95964a6a |
completed | May 18, 2026, 10:28 a.m. |
Created at: April 16, 2026, 8:45 p.m.