Triple
T8267195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Reasoner |
E193330
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Harry Reasoner |
E193330
|
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: Harry Reasoner | Statement: [Harry Reasoner, name, Harry Reasoner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Reasoner Context triple: [Harry Reasoner, name, Harry Reasoner]
-
A.
Harry Reasoner
chosen
Harry Reasoner was an American journalist and television news anchor best known as one of the original correspondents on the CBS news magazine program 60 Minutes.
-
B.
Hans Conried
Hans Conried was an American character actor and voice actor best known for his comedic and often villainous roles in mid-20th-century film, radio, television, and animation.
-
C.
Ben Mankiewicz
Ben Mankiewicz is an American television host and film critic best known as a longtime presenter and commentator on Turner Classic Movies (TCM).
-
D.
Jim Hecht
Jim Hecht is a television writer and producer best known for co-creating the HBO sports drama series "Winning Time: The Rise of the Lakers Dynasty."
-
E.
Jo Swerling
Jo Swerling was an American screenwriter and playwright known for his work on classic Hollywood films and Broadway productions 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_69ca82e081d48190986beaa51f498ab9 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb794e6880819084dff5df42332835 |
completed | March 31, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd6827e44c81909be6e426ab9226c7 |
completed | April 1, 2026, 6:47 p.m. |
Created at: March 30, 2026, 5:50 p.m.