Triple
T15290319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reginald Owen |
E365508
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given first name of the British actor and writer Reginald Owen, known for his work in early 20th-century film and theatre.
|
E1149375
|
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: John | Statement: [Reginald Owen, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [Reginald Owen, givenName, John]
-
A.
John
John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
-
B.
John
John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
-
C.
John
John is the given first name of the 19th-century English theologian and social reformer Frederick Denison Maurice.
-
D.
John
John is the given name of John Eales, the renowned former Australian rugby union captain and World Cup winner.
-
E.
John
John is the given name of Sir John Lennard-Jones, a pioneering British theoretical chemist known for his work on intermolecular forces and the Lennard-Jones potential.
- 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: John Triple: [Reginald Owen, givenName, John]
Generated description
John is the given first name of the British actor and writer Reginald Owen, known for his work in early 20th-century film and theatre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given first name of the British actor and writer Reginald Owen, known for his work in early 20th-century film and theatre.
-
A.
John
John is the given name of the renowned English actor and theatre director Sir John Gielgud, celebrated as one of the greatest Shakespearean performers of the 20th century.
-
B.
John
John is the given name of the renowned American stage and film actor John Barrymore, a major star of the early 20th century.
-
C.
John
John is the given name of John Houseman, the Romanian-born British-American actor and producer known for his work in film, theater, and radio.
-
D.
John
John is the given name of English actor and musician John Simm, known for roles in series such as "Life on Mars" and "Doctor Who."
-
E.
John
John is the given name of John Ireland, an Irish-born American actor and film director known for his roles in classic Hollywood cinema.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03680b60c8190a3ea54a9d34c8105 |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef899e55c8190b1c26491bf37967a |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fef9ed514081909a54da584dff7e5c |
completed | May 9, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefa72f9cc819089550217ea7c7d6e |
completed | May 9, 2026, 9:12 a.m. |
Created at: April 10, 2026, 3:15 a.m.