Triple
T4005027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Meaning of Life |
E89504
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Julian Doyle |
E357148
|
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: Julian Doyle | Statement: [The Meaning of Life, editedBy, Julian Doyle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julian Doyle Context triple: [The Meaning of Life, editedBy, Julian Doyle]
-
A.
Julian Doyle
chosen
Julian Doyle is a British film editor and director best known for his long-time collaboration with the Monty Python team on several of their films.
-
B.
Julian Reid
Julian Reid is a relatively obscure individual whose specific public notability is not clearly established from the available information.
-
C.
Alexander Doyle
Alexander Doyle was a 19th-century American sculptor known for creating prominent public monuments and statues across the United States.
-
D.
Julian Dennison
Julian Dennison is a New Zealand actor best known for his breakout role in "Hunt for the Wilderpeople" and his performance in "Deadpool 2."
-
E.
Julian Clarke
Julian Clarke is a Canadian film editor known for his work on major feature films, including the science fiction movie "Elysium."
- 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa5f7b308190adaad864eec98936 |
completed | March 9, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5562455a0819097fb6a566f2d387a |
completed | March 14, 2026, 12:35 p.m. |
Created at: March 9, 2026, 3:34 p.m.