Triple
T22575920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Where Do We Go |
E544392
|
entity |
| Predicate | hasTitlePhrase |
P3254
|
FINISHED |
| Object | We |
—
|
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: We | Statement: [Where Do We Go, hasTitlePhrase, We]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: We Context triple: [Where Do We Go, hasTitlePhrase, We]
-
A.
We
"We" is Charles Lindbergh’s autobiographical account of his historic 1927 solo nonstop flight across the Atlantic and the events surrounding it.
-
B.
We
chosen
We is a pioneering dystopian novel by Yevgeny Zamyatin that portrays a regimented future totalitarian society and strongly influenced later works like George Orwell’s 1984.
-
C.
WE
WE is Arcade Fire’s 2022 studio album, a concept-driven indie rock record exploring themes of isolation, connection, and the modern human condition.
-
D.
WE
WE is the National Rail station code assigned to Weston railway station in the United Kingdom.
-
E.
You
You is a Korean family name borne by individuals such as Catholic cardinal Lázaro You Heung-sik.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fecf1c8819091a05f2a1b93ca8a |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.