Triple
T22750694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerald Sheldon Herman |
E562686
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Dear World |
—
|
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: Dear World | Statement: [Gerald Sheldon Herman, notableWork, Dear World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dear World Context triple: [Gerald Sheldon Herman, notableWork, Dear World]
-
A.
Dear World
chosen
Dear World is a Broadway musical by composer-lyricist Jerry Herman, adapted from Jean Giraudoux’s play "The Madwoman of Chaillot" and known for its whimsical, bittersweet score.
-
B.
Beautiful World
"Beautiful World" is a 2006 pop album by British boy band Take That that marked their successful comeback after a decade-long hiatus.
-
C.
Beautiful World
Beautiful World is a popular studio album by the Japanese boy band Arashi, known for its upbeat pop tracks and commercial success.
-
D.
Letter to the World
"Letter to the World" is a landmark modern dance work by Martha Graham inspired by the life and poetry of Emily Dickinson.
-
E.
Dear Life
Dear Life is a pop ballad by Australian singer-songwriter Delta Goodrem that reflects on personal growth and self-reflection.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179b8e9408190b251700d3386a1b9 |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:24 p.m.