Triple
T14120130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Darling |
E339881
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Michael Darling |
E342309
|
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: Michael Darling | Statement: [John Darling, sibling, Michael Darling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Darling Context triple: [John Darling, sibling, Michael Darling]
-
A.
Michael Darling
chosen
Michael Darling is the youngest of the Darling children in J.M. Barrie’s Peter Pan, known for his innocence, curiosity, and adventures in Neverland alongside his siblings and the Lost Boys.
-
B.
Joe Dougherty
Joe Dougherty was an American voice actor best known for originating the voice of the Warner Bros. cartoon character Porky Pig in the 1930s.
-
C.
Phil Morrow
Phil Morrow is a television producer known for his work in developing and producing various entertainment and factual programs.
-
D.
Lynde Bradley
Lynde Bradley was an American industrialist and co-founder of the company that became Rockwell Automation, known for pioneering work in industrial controls and automation.
-
E.
Douglas Morrow
Douglas Morrow was an American screenwriter best known for his Academy Award-winning work in mid-20th-century Hollywood cinema.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de60942a588190beff0058a92f7051 |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd2801198481909f9151ca873bfc56 |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 9, 2026, 10:22 p.m.