Triple
T9132367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheldon Kahn |
E219116
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Rose |
E60894
|
NE FINISHED |
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: The Rose | Statement: [Sheldon Kahn, notableWork, The Rose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Rose Context triple: [Sheldon Kahn, notableWork, The Rose]
-
A.
The Rose
chosen
The Rose is a 1979 musical drama film starring Bette Midler as a self-destructive rock singer, widely acclaimed for her powerful performance and the hit title song.
-
B.
the rose
The rose is a vain yet deeply cherished flower in "The Little Prince," symbolizing unique love, vulnerability, and the responsibility that comes with caring for another being.
-
C.
Red Roses for a Blue Lady
"Red Roses for a Blue Lady" is a popular romantic ballad best known for Wayne Newton’s hit 1965 recording.
-
D.
Under the Rose
"Under the Rose" is a short story by Thomas Pynchon, notable for its intricate prose and themes of espionage and paranoia, later collected in his volume "Slow Learner."
-
E.
The Midnight Rose
The Midnight Rose is a historical fiction novel by Lucinda Riley that intertwines a sweeping love story across generations and continents, moving between colonial India and modern-day England.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8db7d808190bd22b0e5a6f9c285 |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d047dc25208190a720910e6d43199b |
completed | April 3, 2026, 11:06 p.m. |
Created at: March 30, 2026, 7:18 p.m.