Triple
T19890045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Land |
E478003
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | the musical "Evita" |
—
|
NE NERFINISHED |
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: the musical "Evita" | Statement: [David Land, knownFor, the musical "Evita"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the musical "Evita" Context triple: [David Land, knownFor, the musical "Evita"]
-
A.
Evita (Broadway revival)
Evita (Broadway revival) is a modern Broadway production of the Andrew Lloyd Webber–Tim Rice musical about Eva Perón, reimagined with updated staging and choreography.
-
B.
Evita
chosen
Evita is a popular musical by Andrew Lloyd Webber and Tim Rice that dramatizes the life of Argentine First Lady Eva Perón.
-
C.
Che in Evita
Che in *Evita* is the sardonic, everyman narrator—often interpreted as a Che Guevara–like figure—who comments critically on Eva Perón’s rise and legacy throughout the musical.
-
D.
Tina: The Tina Turner Musical
Tina: The Tina Turner Musical is a jukebox bio-musical that dramatizes the life and career of rock icon Tina Turner using her hit songs.
-
E.
Cabaret
Cabaret is a coastal commune in Haiti’s Ouest Department, known for its proximity to Port-au-Prince and its role in the region’s local agriculture and trade.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6590ce9f48190a51c0e5ecc828a06 |
completed | April 20, 2026, 4:49 p.m. |
Created at: April 10, 2026, 1:52 p.m.