Triple
T11162279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Tom Morris |
E264066
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Thomas
Thomas is the given name of Old Tom Morris, the 19th-century Scottish golfer widely regarded as a pioneer of the modern game of golf.
|
E264066
|
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: Thomas | Statement: [Old Tom Morris, givenName, Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Context triple: [Old Tom Morris, givenName, Thomas]
-
A.
John
John IV of Portugal was a 17th-century Portuguese king who restored the country's independence from Spain and founded the Braganza dynasty.
-
B.
John
John is the given name of John Henry Patterson, an American industrialist and founder of the National Cash Register Company.
-
C.
John
John is the first name of J. Michael Luttig, a prominent American conservative jurist and former federal appellate judge.
-
D.
John
John was a historical Prince of Asturias, the traditional title for the heir apparent to the Spanish throne.
-
E.
John
John is the given name of John Copley, 1st Baron Lyndhurst, a prominent 19th-century British lawyer and politician who served three times as Lord Chancellor.
- 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: Thomas Triple: [Old Tom Morris, givenName, Thomas]
Generated description
Thomas is the given name of Old Tom Morris, the 19th-century Scottish golfer widely regarded as a pioneer of the modern game of golf.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas Target entity description: Thomas is the given name of Old Tom Morris, the 19th-century Scottish golfer widely regarded as a pioneer of the modern game of golf.
-
A.
Thomas
chosen
Thomas is the given name of Old Tom Morris, the 19th-century Scottish golfer regarded as a pioneer and four-time Open Championship winner.
-
B.
Thomas
Thomas is the given name of Young Tom Morris, the 19th-century Scottish golfer regarded as one of the earliest stars of professional golf.
-
C.
Thomas
Thomas is the given name of Thomas Gainsborough, the renowned 18th-century English portrait and landscape painter.
-
D.
Thomas
Thomas is the given name of Tom Gola, a Hall of Fame American basketball player and coach known for his collegiate and professional success in the mid-20th century.
-
E.
Thomas
Thomas is the given name of Thomas Cochrane, 10th Earl of Dundonald, a renowned British naval officer and radical politician of the 19th century.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8832fe88190a74d81f9ed547baa |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4834b0a0c8190b78ca62badf1f4e4 |
completed | April 19, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69e48788be688190a109ccb8281d3dc9 |
completed | April 19, 2026, 7:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4890c12388190838d350207492c9e |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 8, 2026, 9:29 p.m.