Triple
T3053712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Looking for Eric |
E60430
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Jonathan Morris |
E287303
|
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: Jonathan Morris | Statement: [Looking for Eric, editor, Jonathan Morris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Morris Context triple: [Looking for Eric, editor, Jonathan Morris]
-
A.
Jonathan Morris
chosen
Jonathan Morris is a film editor known for his work on acclaimed British and Irish films, including collaborations with director Ken Loach such as "The Wind That Shakes the Barley."
-
B.
Keith Scholey
Keith Scholey is a British wildlife filmmaker and producer known for creating and overseeing major nature documentaries, including the acclaimed series Our Planet.
-
C.
Ken Morris
Ken Morris is a technology entrepreneur best known as a founder of the enterprise software company PeopleSoft.
-
D.
Blake Worsley
Blake Worsley is a Canadian former competitive swimmer who specialized in freestyle events and represented Canada at international competitions, including the Olympic Games.
-
E.
Jon Plowman
Jon Plowman is a British television producer best known for his influential work on BBC comedies, including series such as Absolutely Fabulous and The Office.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9bf51b5081908ce355a76cfa9e3c |
completed | March 8, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24b21a2548190a04d122494f8c247 |
completed | March 12, 2026, 5:12 a.m. |
Created at: March 8, 2026, 3:01 p.m.