Triple
T23226561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | It Happened at the World's Fair |
E581031
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Si Rose |
—
|
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: Si Rose | Statement: [It Happened at the World's Fair, screenwriter, Si Rose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Si Rose Context triple: [It Happened at the World's Fair, screenwriter, Si Rose]
-
A.
Si Rose
chosen
Si Rose was an American television writer and producer best known for co-creating the 1960s military sitcom "McHale's Navy."
-
B.
Ro Ro Rosey
"Ro Ro Rosey" is a soulful, upbeat track by Van Morrison, featured on his 1967 debut solo album.
-
C.
Rosa
Rosa is a genus of flowering plants known for its ornamental roses, prized worldwide for their beauty, fragrance, and cultural symbolism.
-
D.
Rosa
Rosa is the birth name of Linda Christian, a Mexican film actress known as the first "Bond girl" for her role in the 1954 television adaptation of Casino Royale.
-
E.
Rosa
"Rosa" is a novella by Cynthia Ozick that follows a Holocaust survivor grappling with trauma, memory, and identity in postwar America.
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f1922e2d2c81908c0f3fa5df8a5c58 |
completed | April 29, 2026, 5:07 a.m. |
Created at: April 17, 2026, 4:09 p.m.