Triple
T11680863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cher Show |
E277610
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | life of Cher |
E277610
|
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: life of Cher | Statement: [The Cher Show, basedOn, life of Cher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: life of Cher Context triple: [The Cher Show, basedOn, life of Cher]
-
A.
The Cher Show
chosen
The Cher Show is a jukebox musical that chronicles the life and career of pop icon Cher, featuring her hit songs and multiple actresses portraying her at different stages.
-
B.
Cher
Cher is a department in central France, named after the Cher River and known for its historic towns, vineyards, and agricultural landscapes.
-
C.
Cher
Cher is an American singer, actress, and pop culture icon known for her distinctive contralto voice, decades-spanning career, and hits like "Believe" and "If I Could Turn Back Time."
-
D.
Cher
Cher is the four-letter ISO 15924 script code that designates the Cherokee syllabary writing system.
-
E.
Cher as Rusty Dennis
Cher as Rusty Dennis is the portrayal by singer-actress Cher of the real-life, strong-willed mother of a disfigured boy in the 1985 biographical drama film "Mask."
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a461b0908190bef4e1c6777affcf |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef141134bc81908c0cfb0a3711c115 |
completed | April 27, 2026, 7:45 a.m. |
Created at: April 8, 2026, 9:40 p.m.