Triple
T19796941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Howard |
E475567
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | Peter Howard |
—
|
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: Peter Howard | Statement: [Peter Howard, knownAs, Peter Howard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Howard Context triple: [Peter Howard, knownAs, Peter Howard]
-
A.
Peter Howard
Peter Howard was a prominent American musical theatre orchestrator and dance music arranger known for his work on numerous Broadway productions.
-
B.
Peter Howard
Peter Howard was a British journalist, playwright, and leader in the Moral Re-Armament movement, known for his politically charged writings and Christian-influenced social activism in the mid-20th century.
-
C.
Ken Howard
Ken Howard was an American actor best known for his roles in film, television, and theater, including his portrayal of Thomas Jefferson in the musical film "1776."
-
D.
Scott Howard
Scott Howard is the teenage protagonist of the 1985 comedy film "Teen Wolf," who discovers he has inherited the ability to transform into a werewolf.
-
E.
Peter Davis
Peter Davis is a New Zealand academic and sociologist best known as the husband of former Prime Minister Helen Clark.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c723548190ac9bfaecaf8afb13 |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.