Triple
T29192763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nothing |
E740036
|
entity |
| Predicate | representsForHumans |
P72867
|
FINISHED |
| Object | forgetting stories |
—
|
LITERAL 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: forgetting stories | Statement: [The Nothing, representsForHumans, forgetting stories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsForHumans Context triple: [The Nothing, representsForHumans, forgetting stories]
-
A.
betterRepresents
Indicates that one entity provides a more accurate, appropriate, or faithful representation of something than another entity does.
-
B.
providesToHumans
Indicates that one entity supplies, furnishes, or makes something available for use or benefit by humans.
-
C.
humanReadable
Indicates that something is expressed in a form that is easily understandable or interpretable by humans.
-
D.
representsAs
chosen
Indicates that one entity serves as a depiction, symbol, or stand-in for another entity in some representational context.
-
E.
representsForCharacters
Indicates that one entity performs a representation or advocacy role on behalf of specific characters.
- F. None of above.
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_69f07cb8033c8190b8807e219a14333d |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: April 28, 2026, 12:03 p.m.