Triple
T16002626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Where Have You Been |
E388131
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Henry Walter |
E731806
|
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: Henry Walter | Statement: [Where Have You Been, writer, Henry Walter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Walter Context triple: [Where Have You Been, writer, Henry Walter]
-
A.
Henry Walter
Henry Walter was a 19th-century American architect best known for designing the Ohio Statehouse in Columbus.
-
B.
Henry Walter
chosen
Henry Walter, better known by his stage name Cirkut, is a Canadian record producer and songwriter recognized for crafting numerous global pop and dance hits.
-
C.
George Philip Wells
George Philip Wells was a British zoologist and author, known both for his scientific work and as the son of writer H. G. Wells.
-
D.
Henry Martyn
Henry Martyn was an early 19th-century Anglican missionary and Bible translator known for his pioneering evangelistic work in India and Persia.
-
E.
George Wells
George Wells was an American screenwriter known for his work on classic Hollywood films, including several MGM musicals and comedies.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157fd753c819099707109e35540e1 |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3dba8e08190b6b26ac9a6854e50 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:55 a.m.