Triple
T20253758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Lee |
E498626
|
entity |
| Predicate | hasWork |
P6260
|
FINISHED |
| Object | Paper Man |
—
|
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: Paper Man | Statement: [Mark Lee, hasWork, Paper Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paper Man Context triple: [Mark Lee, hasWork, Paper Man]
-
A.
Paper Man
chosen
Paper Man is a 2009 independent dramedy film about a struggling writer who befriends a young girl while grappling with his imaginary superhero companion.
-
B.
Handsome Man
"Handsome Man" is a song featured on the album *Escapology* by British pop artist Robbie Williams.
-
C.
Side Man
Side Man is a Tony Award–winning Broadway play by Warren Leight that portrays the turbulent lives of jazz musicians and their families across several decades.
-
D.
Perfect Man
The Perfect Man is a central Sufi metaphysical concept describing the fully realized human who perfectly reflects divine attributes and serves as the spiritual axis of creation.
-
E.
Perfect Man
Perfect Man is a short story by J. G. Ballard that explores themes of identity, consumerism, and the commodification of human perfection.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673aa42348190852ae8313f4494ca |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:41 p.m.