Triple
T18177868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loving |
E435208
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Adam Stone |
—
|
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: Adam Stone | Statement: [Loving, cinematographyBy, Adam Stone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam Stone Context triple: [Loving, cinematographyBy, Adam Stone]
-
A.
Adam Stone
chosen
Adam Stone is a cinematographer known for his visually striking work on films such as "Mud."
-
B.
Jon Stone
Jon Stone was an American television producer, director, and writer best known as a key creative force behind the development and early success of the children's program "Sesame Street."
-
C.
Peter Stone
Peter Stone was an American screenwriter and playwright best known for crafting witty, sophisticated scripts for films such as "Charade" and the musical "1776."
-
D.
Peter Stone
Peter Stone is an American computer scientist known for his influential work in artificial intelligence and robotics, particularly in multiagent systems and robot soccer.
-
E.
Jacob Stone
Jacob Stone is a brilliant yet unassuming polymath and art historian who serves as one of the adventurous, magic-protecting heroes in the fantasy television series "The Librarians."
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df5b68f081908aac8210270f1499 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 10:31 a.m.