Triple
T20155346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Ellis |
E491547
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Man of Flowers |
—
|
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: Man of Flowers | Statement: [Bob Ellis, notableWork, Man of Flowers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Man of Flowers Context triple: [Bob Ellis, notableWork, Man of Flowers]
-
A.
Man of Flowers
chosen
Man of Flowers is a 1983 Australian art-house drama film by director Paul Cox, known for its introspective, character-driven exploration of loneliness and sensuality.
-
B.
The Man Who Loved Flowers
"The Man Who Loved Flowers" is a horror short story by Stephen King about a seemingly romantic young man whose love of flowers masks a far darker obsession.
-
C.
The Flower
The Flower is the nickname of Guy Lafleur, the legendary Montreal Canadiens right winger renowned for his speed, scoring prowess, and flowing blond hair.
-
D.
The Love Flower
The Love Flower is a 1920 silent drama film directed by D. W. Griffith, known for its romantic adventure plot set in the Caribbean.
-
E.
A Bed of Flowers
A Bed of Flowers is a satirical novel by British writer Auberon Waugh, reflecting his characteristic wit and darkly comic view of English society.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667df7ac081908816d2d29e7c6513 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.