Triple
T12005832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Bigger Bang |
E285775
|
entity |
| Predicate | previousWork |
P9710
|
FINISHED |
| Object | Forty Licks |
E534918
|
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: Forty Licks | Statement: [A Bigger Bang, previousWork, Forty Licks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forty Licks Context triple: [A Bigger Bang, previousWork, Forty Licks]
-
A.
Forty Licks
chosen
Forty Licks is a greatest hits compilation album by The Rolling Stones, spanning four decades of their most iconic recordings.
-
B.
Sugar Lips
"Sugar Lips" is a popular jazz trumpet tune by Al Hirt that became one of his signature hits in the 1960s.
-
C.
Kisses
Kisses is a trilingual visual album by Brazilian singer Anitta that blends pop, reggaeton, and funk across a series of interconnected music videos.
-
D.
Kiss the Girls
"Kiss the Girls" is a bestselling crime thriller novel by James Patterson featuring detective Alex Cross as he hunts a pair of serial kidnappers and killers.
-
E.
The Kiss
The Kiss is a painting by Norwegian artist Edvard Munch that depicts an intimate, melancholic embrace between two lovers, characteristic of his emotionally charged, Symbolist style.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c5cfc08190821e4b2940c51416 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d259f7c81908366e7d9e61a6c73 |
completed | May 1, 2026, 12:31 p.m. |
Created at: April 8, 2026, 9:46 p.m.