Triple
T18339984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farley Granger |
E439373
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Rope |
—
|
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: Rope | Statement: [Farley Granger, notableWork, Rope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rope Context triple: [Farley Granger, notableWork, Rope]
-
A.
Rope
chosen
Rope is a 1948 psychological crime thriller film directed by Alfred Hitchcock, notable for its real-time narrative and long-take filming style.
-
B.
Rope
"Rope" is a song by the American indie rock band Low from their critically acclaimed 1994 debut album *I Could Live in Hope*.
-
C.
Enough Rope
Enough Rope is a 1926 poetry collection by American writer Dorothy Parker, known for its sharp wit, cynicism, and exploration of love and urban life.
-
D.
Auf dem Seil
Auf dem Seil is a novel by Hungarian-German author Terézia Mora that continues her exploration of identity, migration, and psychological complexity through the story of a woman navigating life between cultures.
-
E.
Death Trap
Death Trap is a track from the horrorcore hip-hop album "6 Feet Deep" by the Gravediggaz.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ed07db48190a15e957c96b1c5bf |
completed | April 19, 2026, 5:20 p.m. |
Created at: April 10, 2026, 10:37 a.m.