Triple
T9509107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarke Peters |
E229344
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Peter Clarke |
E249794
|
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: Peter Clarke | Statement: [Clarke Peters, birthName, Peter Clarke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Clarke Context triple: [Clarke Peters, birthName, Peter Clarke]
-
A.
Peter Clarke
chosen
Peter Clarke is the father of British actress Emilia Clarke, known for his work as a theatre sound engineer.
-
B.
David Clarke
David Clarke was an actor known for his role in the 1949 film adaptation of William Faulkner's "Intruder in the Dust" and for his work in mid-20th-century American cinema and television.
-
C.
David Clarke
David Clarke is a central character in the TV series "Revenge," known as Emily Thorne's wrongfully imprisoned and presumed-dead father whose fate drives much of the show's plot.
-
D.
Stephen Clarkson
Stephen Clarkson was a prominent Canadian political scientist and author known for his influential analyses of Canadian politics and North American integration.
-
E.
Andrew Clark
Andrew Clark is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
- 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9857058881909e0a40e2024a7b4c |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a2b34948190826b1f58258a4f54 |
completed | April 4, 2026, 4:19 p.m. |
Created at: March 30, 2026, 7:58 p.m.