Triple
T14524033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unbreakable World Tour |
E340725
|
entity |
| Predicate | includesSong |
P7178
|
FINISHED |
| Object | If |
E67134
|
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: If | Statement: [Unbreakable World Tour, includesSong, If]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: If Context triple: [Unbreakable World Tour, includesSong, If]
-
A.
If
"If" is a moody, atmospheric R&B-influenced song by Canadian singer-songwriter and producer Black Atlass.
-
B.
If
"If" is a hit Afrobeats love song by Nigerian singer Davido that became one of his most popular and internationally recognized tracks.
-
C.
If
chosen
"If" is a 1993 Janet Jackson song known for its fusion of R&B, rock, and industrial sounds, sexually assertive lyrics, and innovative, high-energy choreography in its music video.
-
D.
It
It is a 1986 horror novel by Stephen King about a shape-shifting entity that terrorizes children in the town of Derry, Maine.
-
E.
It
"It" is a 1927 silent romantic comedy film that made Clara Bow famous as the original "It Girl" and a major Hollywood star.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea04f16f88190ba357b0f8021b46b |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a50324481909713bbf68295e839 |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.