Triple
T21103006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emble |
E519957
|
entity |
| Predicate | sharesWorkWithCharacter |
P26607
|
FINISHED |
| Object | Quant |
—
|
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: Quant | Statement: [Emble, sharesWorkWithCharacter, Quant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quant Context triple: [Emble, sharesWorkWithCharacter, Quant]
-
A.
Quant
chosen
Quant is a character in W. H. Auden’s long poem "The Age of Anxiety," representing one of the four strangers whose introspective conversations explore themes of identity, faith, and modern disillusionment.
-
B.
Qu
Qu is a Chinese surname shared by various notable figures in politics, science, and the arts.
-
C.
QUE
QUE is the standard abbreviation used for the Quebec Remparts, a major junior ice hockey team in the Quebec Major Junior Hockey League.
-
D.
QUE
QUE is the station code for Queen station, a public transit stop in Toronto's subway system.
-
E.
QN
QN is the station code identifying Quinta Normal station in the Santiago Metro system.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5ee8948190ac6e9e144d312c90 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:53 p.m.