Triple
T280400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lester B. Pearson |
E5341
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Lester
Lester is the given name of Lester B. Pearson, the Canadian diplomat, Nobel Peace Prize laureate, and 14th prime minister of Canada.
|
E49249
|
NE FINISHED |
How this triple was built (4 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: Lester | Statement: [Lester B. Pearson, givenName, Lester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lester Context triple: [Lester B. Pearson, givenName, Lester]
-
A.
Leslie
Leslie is a small town in Fife, Scotland, situated near Glenrothes and known historically for its textile and papermaking industries.
-
B.
Earl
An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
-
C.
Walter
Walter is a masculine given name of Germanic origin that has been widely used in English-speaking countries.
-
D.
Gordon
Gordon is the middle name of the famed Romantic poet Lord Byron, whose full name is George Gordon Byron.
-
E.
Tom Canty
Tom Canty is the impoverished London boy who swaps identities with Prince Edward in Mark Twain’s novel "The Prince and the Pauper," highlighting themes of class and social injustice.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lester Triple: [Lester B. Pearson, givenName, Lester]
Generated description
Lester is the given name of Lester B. Pearson, the Canadian diplomat, Nobel Peace Prize laureate, and 14th prime minister of Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lester Target entity description: Lester is the given name of Lester B. Pearson, the Canadian diplomat, Nobel Peace Prize laureate, and 14th prime minister of Canada.
-
A.
Leslie
Leslie is a small town in Fife, Scotland, situated near Glenrothes and known historically for its textile and papermaking industries.
-
B.
Earl
An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
-
C.
Walter
Walter is a masculine given name of Germanic origin that has been widely used in English-speaking countries.
-
D.
Gordon
Gordon is the middle name of the famed Romantic poet Lord Byron, whose full name is George Gordon Byron.
-
E.
Henry Lucas
Henry Lucas was a 17th-century English clergyman, politician, and benefactor whose endowment led to the creation of the prestigious Lucasian Chair of Mathematics at the University of Cambridge.
- F. None of above. chosen
Provenance (5 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25e0868708190ad551ca06cc57f4a |
completed | Feb. 28, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4034a3e248190853d58b4f27d1d74 |
completed | March 1, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69a403e511888190a336cb34f4c3b960 |
completed | March 1, 2026, 9:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a40451d2f881909b90d6d21c55c497 |
completed | March 1, 2026, 9:18 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.