Triple
T18852726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suzanne Todd |
E461084
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Across the Universe |
—
|
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: Across the Universe | Statement: [Suzanne Todd, notableWork, Across the Universe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Across the Universe Context triple: [Suzanne Todd, notableWork, Across the Universe]
-
A.
Across the Universe
chosen
Across the Universe is a 2007 musical romantic drama film that weaves a love story through imaginative, visually rich sequences set to songs by The Beatles.
-
B.
Starboy
"Starboy" is a 2016 hit single by The Weeknd featuring Daft Punk, known for its dark, moody production and exploration of fame and identity.
-
C.
Starboy
Starboy is the popular stage name and persona of Nigerian Afrobeats singer and songwriter Wizkid, under which he has released several hit songs and projects.
-
D.
Somewhere
"Somewhere" is a track by the American rock band Soundgarden from their influential 1991 album *Badmotorfinger*.
-
E.
Somewhere
"Somewhere" is a stage play by American playwright Matthew López that explores themes of family, ambition, and the pursuit of dreams against the backdrop of mid-20th-century New York City.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05a8a708190b9b2b8f95b2f1d23 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:56 a.m.