Triple
T15437004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Point of No Return |
E369789
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Frank Morriss |
E183550
|
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: Frank Morriss | Statement: [Point of No Return, editedBy, Frank Morriss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Morriss Context triple: [Point of No Return, editedBy, Frank Morriss]
-
A.
Frank Morriss
chosen
Frank Morriss was an American film editor known for his work on major Hollywood action and adventure films, including "Romancing the Stone."
-
B.
James Morris
James Morris is a music industry professional best known as the founder of Dublin’s renowned Windmill Lane Studios, a landmark recording facility used by numerous major artists.
-
C.
James Morris
James Morris was a prominent local figure and early settler after whom the town of Morris, Connecticut, was named.
-
D.
Will Kemp
Will Kemp is an English actor and former professional ballet dancer known for his roles in film and television, including the psychological thriller "Mindhunters."
-
E.
Ian Boldsworth
Ian Boldsworth is a British comedian, writer, and podcaster best known for his work in alternative comedy and shows like the paranormal podcast "The ParaPod."
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03edca064819081510bf303271062 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a5e55c81909801db54032589ac |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:21 a.m.