Triple
T12112961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barberton, Ohio |
E288478
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
O. C. Barber
O. C. Barber was an American industrialist and entrepreneur known as the "Match King" for his leadership of the Diamond Match Company and for founding and developing the city of Barberton, Ohio.
|
E965414
|
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: O. C. Barber | Statement: [Barberton, Ohio, namedAfter, O. C. Barber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: O. C. Barber Context triple: [Barberton, Ohio, namedAfter, O. C. Barber]
-
A.
Charles Webb
Charles Webb was an American novelist best known for writing the 1963 novel that became the basis for the iconic film "The Graduate."
-
B.
Melvin Gregg
Melvin Gregg is an American actor and former Vine personality known for his roles in film and television, including the series "Nine Perfect Strangers."
-
C.
John DeCuir
John DeCuir was an American art director and production designer renowned for his lavish, large-scale set designs on classic Hollywood epics.
-
D.
R. B. Barrett
R. B. Barrett is an individual notable enough to be recognized as a prominent bearer of the surname Barrett.
-
E.
Maurice McEndree
Maurice McEndree is a cinematographer known for his work on the film "Faces."
- 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: O. C. Barber Triple: [Barberton, Ohio, namedAfter, O. C. Barber]
Generated description
O. C. Barber was an American industrialist and entrepreneur known as the "Match King" for his leadership of the Diamond Match Company and for founding and developing the city of Barberton, Ohio.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: O. C. Barber Target entity description: O. C. Barber was an American industrialist and entrepreneur known as the "Match King" for his leadership of the Diamond Match Company and for founding and developing the city of Barberton, Ohio.
-
A.
Charles Webb
Charles Webb was an American novelist best known for writing the 1963 novel that became the basis for the iconic film "The Graduate."
-
B.
Melvin Gregg
Melvin Gregg is an American actor and former Vine personality known for his roles in film and television, including the series "Nine Perfect Strangers."
-
C.
John DeCuir
John DeCuir was an American art director and production designer renowned for his lavish, large-scale set designs on classic Hollywood epics.
-
D.
R. B. Barrett
R. B. Barrett is an individual notable enough to be recognized as a prominent bearer of the surname Barrett.
-
E.
Maurice McEndree
Maurice McEndree is a cinematographer known for his work on the film "Faces."
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9156814148190b47d63a89fcab17c |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f67d58d08190be45fb49f0084b49 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f600b6769481909d0308c8f77b2ef3 |
completed | May 2, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f601ebaa448190ba59485d9d7d68d1 |
completed | May 2, 2026, 1:53 p.m. |
Created at: April 8, 2026, 9:49 p.m.