Triple
T16601912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JSH |
E403348
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Jones
Jones is a namesake figure after whom the entity JSH is named, likely recognized for contributions or significance related to that organization or context.
|
E46350
|
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: Jones | Statement: [JSH, namedAfter, Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jones Context triple: [JSH, namedAfter, Jones]
-
A.
John
John is the given name of John Sandfield Macdonald, a 19th-century Canadian politician who served as the first Premier of Ontario.
-
B.
John
John is an individual whose given name is John and who is alternatively known as Jack Morris.
-
C.
John
John is the given name of John Wooden, the legendary American basketball coach renowned for his success at UCLA and his influential leadership philosophy.
-
D.
John
John Wellborn Root was a prominent American architect of the late 19th century, best known for his influential role in the Chicago School and the development of early skyscraper design.
-
E.
John
John is the given name of Saint John of Nepomuk, a 14th-century Bohemian priest venerated as a martyr and patron saint of confessors.
- 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: Jones Triple: [JSH, namedAfter, Jones]
Generated description
Jones is a namesake figure after whom the entity JSH is named, likely recognized for contributions or significance related to that organization or context.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jones Target entity description: Jones is a namesake figure after whom the entity JSH is named, likely recognized for contributions or significance related to that organization or context.
-
A.
Jones
chosen
Jones is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and science.
-
B.
John
John is the given name of the influential American blues singer, songwriter, and guitarist John Lee Hooker.
-
C.
John
John "Johnny" Weir is an American figure skater and television commentator known for his artistic style on the ice and flamboyant public persona.
-
D.
John
John is the given name of the American novelist John D. MacDonald, best known for his crime and suspense fiction, including the Travis McGee series.
-
E.
John
John is a character in the horror-musical film series "The Devil’s Carnival," set within its dark, carnival-themed underworld.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d770a048190be42180b03efba0b |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075a48c088190b6585e42dcd73705 |
completed | May 10, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_6a0076468d588190972639d0a22f0e3e |
completed | May 10, 2026, 12:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007728680c819082a3bd7e84edb2b0 |
completed | May 10, 2026, 12:16 p.m. |
Created at: April 10, 2026, 5:17 a.m.