Triple
T23052471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hope Steadman |
E574055
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Mel Harris |
—
|
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: Mel Harris | Statement: [Hope Steadman, portrayedBy, Mel Harris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mel Harris Context triple: [Hope Steadman, portrayedBy, Mel Harris]
-
A.
Mel Harris
chosen
Mel Harris is an American actress best known for her role as Hope Murdoch Steadman on the television drama series "Thirtysomething."
-
B.
Ken Harris
Ken Harris was a renowned American animator best known for his influential work on Warner Bros. cartoons, particularly in collaboration with director Chuck Jones.
-
C.
Will J. Harris
Will J. Harris was an American songwriter and lyricist active in the early 20th century, known for contributing lyrics to popular songs of the era.
-
D.
Sean Harris
Sean Harris is a British actor known for his intense character roles in film and television, including his portrayal of the android-hating geologist Fifield in the science fiction film "Prometheus."
-
E.
Grant Harris
Grant Harris is a notable alumnus of Cartersville High School recognized for his achievements after graduating from the institution.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867d010c8190bc5dba6758d0b797 |
completed | April 29, 2026, 4:18 a.m. |
Created at: April 17, 2026, 3:54 p.m.