Triple
T10721872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John McGiver |
E252841
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given name of American character actor John McGiver, known for his distinctive, pompous persona in mid-20th-century film and television.
|
E882161
|
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: [John McGiver, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John McGiver, givenName, John]
-
A.
John
John is traditionally regarded as the author of the New Testament’s Book of Revelation, a prophetic and apocalyptic text in Christian scripture.
-
B.
John
John is the first name of Johnny Evers, a Hall of Fame American Major League Baseball second baseman who starred for the Chicago Cubs in the early 20th century.
-
C.
John
John is the given name of John B. Watson, the influential American psychologist who founded behaviorism.
-
D.
John
John is the given name of John Dustin Archbold, an American oil industry executive and key figure in the early history of Standard Oil.
-
E.
John
John is the given name of John Brisker, an American professional basketball player known for his time in the ABA and NBA and his mysterious disappearance in the 1970s.
- 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: [John McGiver, givenName, John]
Generated description
John is the given name of American character actor John McGiver, known for his distinctive, pompous persona in mid-20th-century film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given name of American character actor John McGiver, known for his distinctive, pompous persona in mid-20th-century film and television.
-
A.
John
John is the given name of American actor John Goodman, renowned for his roles in film, television, and theater.
-
B.
John
John is the given name of American actor John Hodiak, known for his roles in mid-20th-century Hollywood films.
-
C.
John
John is the given name of John Witherspoon, an American actor and comedian best known for his roles in the "Friday" film series and the television show "The Wayans Bros."
-
D.
John
John is the given name of the renowned American stage and film actor John Barrymore, a major star of the early 20th century.
-
E.
John
John is the birth name of American character actor Jack Warden, known for his prolific film and television career in the mid-20th century.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70d43655081909b071100c96cb4f6 |
completed | April 9, 2026, 2:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb703b1ec8190b11fbb381c929a90 |
completed | April 12, 2026, 3:15 p.m. |
| NEDg | Description generation | batch_69dbbbe545748190b2bdbc3a75224eb0 |
completed | April 12, 2026, 3:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dbc59b315081909362892f5b989d25 |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 8, 2026, 9:13 p.m.