Triple
T15597618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wenman Coke |
E374945
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Wenman
Wenman is an uncommon English given name historically borne by figures such as the politician Wenman Coke.
|
E1166503
|
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: Wenman | Statement: [Wenman Coke, givenName, Wenman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wenman Context triple: [Wenman Coke, givenName, Wenman]
-
A.
Welchman
Welchman is a surname most notably associated with Gordon Welchman, a key British codebreaker at Bletchley Park during World War II.
-
B.
Winkleman
Winkleman is a surname most notably associated with British actress Sophie Winkleman and her extended family, which includes media and entertainment figures.
-
C.
Wyman
Wyman is a character appearing in Willard Van Orman Quine’s philosophical essay “On What There Is,” used to illustrate issues in ontology and the problem of non-existent objects.
-
D.
Ewart
Ewart is a given name notably borne by the 19th-century British statesman William Ewart Gladstone.
-
E.
Lawmond
Lawmond is a Scottish family name recognized as a sept of Clan Lamont, a historic Highland clan from Argyll.
- 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: Wenman Triple: [Wenman Coke, givenName, Wenman]
Generated description
Wenman is an uncommon English given name historically borne by figures such as the politician Wenman Coke.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wenman Target entity description: Wenman is an uncommon English given name historically borne by figures such as the politician Wenman Coke.
-
A.
Welchman
Welchman is a surname most notably associated with Gordon Welchman, a key British codebreaker at Bletchley Park during World War II.
-
B.
Winkleman
Winkleman is a surname most notably associated with British actress Sophie Winkleman and her extended family, which includes media and entertainment figures.
-
C.
Wyman
Wyman is a character appearing in Willard Van Orman Quine’s philosophical essay “On What There Is,” used to illustrate issues in ontology and the problem of non-existent objects.
-
D.
Ewart
Ewart is a given name notably borne by the 19th-century British statesman William Ewart Gladstone.
-
E.
Lawmond
Lawmond is a Scottish family name recognized as a sept of Clan Lamont, a historic Highland clan from Argyll.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e609ab081909feb486a57439960 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56ccc40c8190a3b1339404e6897f |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff581a25008190b7be08a93d798522 |
completed | May 9, 2026, 3:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff58ad35108190a0549d3d81e6851e |
completed | May 9, 2026, 3:54 p.m. |
Created at: April 10, 2026, 4:12 a.m.