Triple
T611809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Ferrell |
E12114
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the first name of American comedian and actor Will Ferrell, known for his work on Saturday Night Live and numerous comedy films.
|
E104657
|
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: [Will Ferrell, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [Will Ferrell, 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 given name of John Hancock, a prominent American statesman and patriot best known for his large signature on the United States Declaration of Independence.
-
C.
John
John is the given first name of J. Edgar Hoover, the long-serving and influential first director of the United States Federal Bureau of Investigation (FBI).
-
D.
John
John is the given name of John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation known for his advocacy of digital rights.
-
E.
John
John is the given first name of the legendary American professional golfer Byron Nelson, one of the sport’s early great champions.
- 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: [Will Ferrell, givenName, John]
Generated description
John is the first name of American comedian and actor Will Ferrell, known for his work on Saturday Night Live and numerous comedy films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the first name of American comedian and actor Will Ferrell, known for his work on Saturday Night Live and numerous comedy films.
-
A.
John
John is the given name of John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation known for his advocacy of digital rights.
-
B.
John
John is the given first name of J. Edgar Hoover, the long-serving and influential first director of the United States Federal Bureau of Investigation (FBI).
-
C.
John
John is the given first name of the legendary American professional golfer Byron Nelson, one of the sport’s early great champions.
-
D.
John
John is the given name of John Hancock, a prominent American statesman and patriot best known for his large signature on the United States Declaration of Independence.
-
E.
John
John is the given name of John Proctor, a historical figure best known as a farmer executed during the Salem witch trials and later popularized as a central character in Arthur Miller’s play "The Crucible."
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49e07739481909930a6577c081b9e |
completed | March 1, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7bffe8a488190939b1a778db4f517 |
completed | March 4, 2026, 5:15 a.m. |
| NEDg | Description generation | batch_69a7c0bea40481908df44214da39135e |
completed | March 4, 2026, 5:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7c125de38819084897b25887dea0e |
completed | March 4, 2026, 5:20 a.m. |
Created at: March 1, 2026, 7:35 p.m.