Triple
T20997751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bleak Moments |
E517193
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object | Norm |
—
|
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: Norm | Statement: [Bleak Moments, hasMainCharacter, Norm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norm Context triple: [Bleak Moments, hasMainCharacter, Norm]
-
A.
Norm
chosen
Norm is a masculine given name, often a shortened form of Norman, commonly used in English-speaking countries.
-
B.
Normal
Normal is a central Illinois town best known as the home of Illinois State University and part of the twin-city community with Bloomington.
-
C.
Normal
Normal is a Mexico City Metro station on Line 2 that serves the San Rafael neighborhood near several educational institutions.
-
D.
Way to Normal
Way to Normal is a 2008 studio album by American singer-songwriter and pianist Ben Folds, known for its energetic piano rock sound and witty, narrative-driven lyrics.
-
E.
Nut
Nut is the ancient Egyptian sky goddess, often depicted arching over the earth and associated with the heavens, stars, and the cyclical rebirth of the sun.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc22ca6081908bf054ddcfea9e19 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:51 p.m.