Triple
T12698886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Net |
E303404
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Ken Howard |
E536638
|
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: Ken Howard | Statement: [The Net, starring, Ken Howard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken Howard Context triple: [The Net, starring, Ken Howard]
-
A.
Ken Howard
chosen
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."
-
B.
Donald Howard
Donald Howard was a British politician best known for serving on the controversial Simon Commission that investigated constitutional reform in colonial India.
-
C.
Steve Howard
Steve Howard is a British trumpeter best known for his work with Paul McCartney and Wings during the 1970s.
-
D.
Peter Howard
Peter Howard was a prominent American musical theatre orchestrator and dance music arranger known for his work on numerous Broadway productions.
-
E.
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.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ed26588190ae76ff17159e06ec |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af47b3d48190923e731c3733428a |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 9, 2026, 5:22 p.m.