Triple
T1602506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take That |
E34425
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Shine
"Shine" is a pop song by British boy band Take That, known for its upbeat, retro-inspired sound and success as a major UK hit.
|
E181355
|
NE FINISHED |
How this triple was built (4 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: Shine | Statement: [Take That, notableWork, Shine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shine Context triple: [Take That, notableWork, Shine]
-
A.
Shine
Shine is a studio album by British R&B singer Estelle that showcases her blend of soul, hip hop, and pop influences.
-
B.
Shine
Shine is a critically acclaimed 1996 biographical drama film in which Geoffrey Rush delivers an Oscar-winning performance as pianist David Helfgott.
-
C.
Miracle
Miracle is a 2004 sports drama film depicting the U.S. men's ice hockey team's underdog victory over the Soviet Union at the 1980 Winter Olympics.
-
D.
Stardust
"Stardust" is a classic popular song, widely regarded as a jazz and American Songbook standard, famously interpreted by Louis Armstrong and many other artists.
-
E.
Stardust
Stardust is a fantasy novel by Neil Gaiman that blends fairy-tale romance and adventure in a magical realm bordering Victorian England.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shine Triple: [Take That, notableWork, Shine]
Generated description
"Shine" is a pop song by British boy band Take That, known for its upbeat, retro-inspired sound and success as a major UK hit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shine Target entity description: "Shine" is a pop song by British boy band Take That, known for its upbeat, retro-inspired sound and success as a major UK hit.
-
A.
Shine
Shine is a critically acclaimed 1996 biographical drama film in which Geoffrey Rush delivers an Oscar-winning performance as pianist David Helfgott.
-
B.
Shine
Shine is a studio album by British R&B singer Estelle that showcases her blend of soul, hip hop, and pop influences.
-
C.
Miracle
Miracle is a 2004 sports drama film depicting the U.S. men's ice hockey team's underdog victory over the Soviet Union at the 1980 Winter Olympics.
-
D.
Stardust
"Stardust" is a classic popular song, widely regarded as a jazz and American Songbook standard, famously interpreted by Louis Armstrong and many other artists.
-
E.
Stardust
Stardust is a fantasy novel by Neil Gaiman that blends fairy-tale romance and adventure in a magical realm bordering Victorian England.
- F. None of above. chosen
Provenance (5 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62292d1c819080b597199dc6b8d5 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad46ad15b081908b59df18224c7a8f |
completed | March 8, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_69ad4740c2788190a7ce80cb978a0b19 |
completed | March 8, 2026, 9:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad47bb63248190ba240c004b434686 |
completed | March 8, 2026, 9:56 a.m. |
Created at: March 4, 2026, 7:28 p.m.