Triple
T15036025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Waterhouse |
E378478
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Matthew
Matthew is a masculine given name of Hebrew origin, commonly used in English-speaking countries and meaning "gift of God."
|
E556162
|
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: Matthew | Statement: [Matthew Waterhouse, givenName, Matthew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Context triple: [Matthew Waterhouse, givenName, Matthew]
-
A.
John
John Perceval, 2nd Earl of Egmont, was an 18th-century British politician and peer who served in both the Irish and British parliaments and held several high offices under King George III.
-
B.
John
John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
-
C.
John
John is the given name of John Randolph Hearst, a member of the prominent Hearst family associated with American media and publishing.
-
D.
John
John Fritz was a prominent American mechanical engineer and steel industry pioneer known as the "Father of the U.S. Steel Industry."
-
E.
John
John is the given name of Admiral Sir John Fieldhouse, a senior Royal Navy officer who served as Chief of the Defence Staff and commanded British forces during the Falklands War.
- 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: Matthew Triple: [Matthew Waterhouse, givenName, Matthew]
Generated description
Matthew is a masculine given name of Hebrew origin, commonly used in English-speaking countries and meaning "gift of God."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matthew Target entity description: Matthew is a masculine given name of Hebrew origin, commonly used in English-speaking countries and meaning "gift of God."
-
A.
Matthew
chosen
Matthew is a masculine given name of Hebrew origin, commonly used in English-speaking countries and meaning "gift of God."
-
B.
Matthew
Matthew is the given name of Matt Le Tissier, the renowned former Southampton and England footballer known for his exceptional skill and loyalty to a single club.
-
C.
Matthew
Matthew is the given name of Sir Matt Busby, the legendary Scottish football manager best known for his long and successful tenure at Manchester United.
-
D.
Matthew
Matthew is the given first name of American actor Ryan Phillippe, known for films like "Cruel Intentions" and "Crash."
-
E.
Matthew
Matthew is the given name of blues guitarist Matt "Guitar" Murphy, renowned for his work with the Blues Brothers and numerous Chicago blues legends.
- F. None of above.
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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82b29948190acda49cbec3f927a |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9ddfc13481909333690016650410 |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fe9e7e12488190972b383d66a2651e |
completed | May 9, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9f0dd1ac8190a802e9b388b9c770 |
completed | May 9, 2026, 2:42 a.m. |
Created at: April 10, 2026, 2:59 a.m.