Triple
T6420573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Dano |
E127932
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Youth |
E407832
|
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: Youth | Statement: [Paul Dano, notableWork, Youth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Youth Context triple: [Paul Dano, notableWork, Youth]
-
A.
Youth
"Youth" is a section of Peter Kropotkin’s autobiographical work *Memoirs of a Revolutionist*, recounting his early life and formative experiences.
-
B.
Youth
Youth is a British musician and record producer best known as the bassist and founding member of the band Killing Joke and for his influential work in post-punk and electronic music.
-
C.
Youth
"Youth" is a melancholic, synth-driven indie pop song by British band Glass Animals that reflects on nostalgia, loss, and the fragility of childhood.
-
D.
Youth
chosen
"Youth" is a short story by Joseph Conrad that recounts a young sailor's first voyage to the East and reflects on the idealism and resilience of early adulthood.
-
E.
Young
Young is a regional town in New South Wales, Australia, historically known for its gold rush heritage and cherry production.
- 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_69c0083815208190a9b299b8e0640218 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06902ddb48190bd5a8b5ecdf6c39e |
completed | March 22, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640d5f6f88190963a1e59400c7aa0 |
completed | March 27, 2026, 8:33 a.m. |
Created at: March 22, 2026, 4:43 p.m.