Triple
T9879992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cirkut |
E180774
|
entity |
| Predicate | birthName |
P65
|
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: [Cirkut, birthName, Henry Walter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Walter Context triple: [Cirkut, birthName, Henry Walter]
-
A.
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.
-
B.
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.
-
C.
Henry Martyn
Henry Martyn was an early 19th-century Anglican missionary and Bible translator known for his pioneering evangelistic work in India and Persia.
-
D.
George Wells
George Wells was an American screenwriter known for his work on classic Hollywood films, including several MGM musicals and comedies.
-
E.
Henry Van Brunt
Henry Van Brunt was a prominent 19th-century American architect known for his influential role in shaping civic and institutional architecture across the United States.
- 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_69ca828082cc8190a40f8d299caa6545 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4146fe881908f9fc553dfca31e1 |
completed | April 2, 2026, 12:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e48665e88190ab8a4a30b1df8ebe |
completed | April 5, 2026, 4:26 a.m. |
Created at: March 30, 2026, 8:38 p.m.