Triple
T21449876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Making Love |
E529179
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Harry Hamlin |
—
|
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: Harry Hamlin | Statement: [Making Love, castMember, Harry Hamlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Hamlin Context triple: [Making Love, castMember, Harry Hamlin]
-
A.
Harry Hamlin
chosen
Harry Hamlin is an American actor best known for his roles in the film "Clash of the Titans" and the television series "L.A. Law."
-
B.
Hamlin
Hamlin is a surname most notably associated with Hannibal Hamlin, who served as vice president of the United States under Abraham Lincoln during the Civil War.
-
C.
Donald Blackstone
Donald Blackstone is better known as Don Black, a British lyricist acclaimed for his work on numerous hit songs and film and stage musicals.
-
D.
Howard Koh
Howard Koh is an American physician and public health leader who served as the U.S. Assistant Secretary for Health and is known for his work in cancer prevention, health disparities, and tobacco control.
-
E.
Henry Kagan
Henry Kagan is an individual notable enough to be recognized as a bearer of the surname Kagan, though specific widely known biographical details about him are not well documented.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d281c0819080c3f8a58947a115 |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:06 p.m.