Triple
T16124850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Arkland |
E391240
|
entity |
| Predicate | hasSignificantRelationshipWith |
P2830
|
FINISHED |
| Object | Mike Engleby |
E323908
|
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: Mike Engleby | Statement: [Jennifer Arkland, hasSignificantRelationshipWith, Mike Engleby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Engleby Context triple: [Jennifer Arkland, hasSignificantRelationshipWith, Mike Engleby]
-
A.
Mike Engleby
chosen
Mike Engleby is the introspective, psychologically complex protagonist of Sebastian Faulks's novel "Engleby," known for his unreliable narration and unsettling inner life.
-
B.
Mike Amesbury
Mike Amesbury is a British Labour Party politician and Member of Parliament known for representing the Weaver Vale constituency.
-
C.
Mike Eley
Mike Eley is a British cinematographer known for his work on acclaimed films and television dramas.
-
D.
Jon Trickett
Jon Trickett is a British Labour Party politician and long-serving Member of Parliament known for his work on left-wing policy and party organization.
-
E.
Darren Eales
Darren Eales is a British football executive known for serving as president of Major League Soccer club Atlanta United FC, where he helped build the expansion team into a successful franchise.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2020408a88190bf3dfc893d577c55 |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2a9db848190bafb959bd7511246 |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5 a.m.