Triple
T33955625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nolans |
E870560
|
entity |
| Predicate | notableHitSingle |
P8087
|
FINISHED |
| Object | I'm in the Mood for Dancing |
E1302765
|
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: I'm in the Mood for Dancing | Statement: [The Nolans, notableHitSingle, I'm in the Mood for Dancing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableHitSingle Context triple: [The Nolans, notableHitSingle, I'm in the Mood for Dancing]
-
A.
notableSingle
Indicates that the subject is particularly recognized or distinguished for one specific, individual instance (such as a single work, event, or achievement).
-
B.
recordedAsHitSingleBy
Indicates that a musical work was released and recognized as a hit single by a particular recording artist or group.
-
C.
notableSingleChartPerformance
Indicates that an entity achieved a particularly significant or distinguished performance on a music singles chart.
-
D.
notableTrack
chosen
Indicates that a particular track (such as a song or recording) is especially significant, well-known, or prominent in relation to the subject.
-
E.
wroteHitSingles
Indicates that the subject created and released one or more songs that achieved significant commercial success as singles.
- F. None of above.
Provenance (4 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_69f3499c2d7481909c953a5010227725 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3692d2e5f88190be65654fec37f5e4 |
completed | June 20, 2026, 1:17 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:49 a.m.