Triple
T18391190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maumelle, Arkansas |
E449730
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Caleb Norris
Caleb Norris is an American local government official serving as the mayor of Maumelle, Arkansas.
|
E1348259
|
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: Caleb Norris | Statement: [Maumelle, Arkansas, hasMayor, Caleb Norris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caleb Norris Context triple: [Maumelle, Arkansas, hasMayor, Caleb Norris]
-
A.
Caleb Snyder
Caleb Snyder is a member of the Snyder family, known primarily in relation to that family group.
-
B.
Caleb Speir
Caleb Speir is a writer known for his work on the television series "American Boy."
-
C.
Caleb Ashworth
Caleb Ashworth was an 18th-century English dissenting minister and educator who led one of the prominent Dissenting Academies, helping train nonconformist clergy and intellectuals outside the established Church of England.
-
D.
Caleb Goddard
Caleb Goddard is the son of American actress Susan Anspach and is known primarily for his connection to his parents in the entertainment industry.
-
E.
Caleb Lyon
Caleb Lyon was a 19th-century American politician and designer best known for creating the Great Seal of the State of California.
- 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: Caleb Norris Triple: [Maumelle, Arkansas, hasMayor, Caleb Norris]
Generated description
Caleb Norris is an American local government official serving as the mayor of Maumelle, Arkansas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caleb Norris Target entity description: Caleb Norris is an American local government official serving as the mayor of Maumelle, Arkansas.
-
A.
Caleb Snyder
Caleb Snyder is a member of the Snyder family, known primarily in relation to that family group.
-
B.
Caleb Speir
Caleb Speir is a writer known for his work on the television series "American Boy."
-
C.
Caleb Ashworth
Caleb Ashworth was an 18th-century English dissenting minister and educator who led one of the prominent Dissenting Academies, helping train nonconformist clergy and intellectuals outside the established Church of England.
-
D.
Caleb Goddard
Caleb Goddard is the son of American actress Susan Anspach and is known primarily for his connection to his parents in the entertainment industry.
-
E.
Caleb Lyon
Caleb Lyon was a 19th-century American politician and designer best known for creating the Great Seal of the State of California.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e518422e488190bd06fad72efa1641 |
completed | April 19, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05829917e4819093dc8ae6ed4cdb6a |
completed | May 14, 2026, 8:06 a.m. |
| NEDg | Description generation | batch_6a05885e976c81909ca84e84920dcc2d |
completed | May 14, 2026, 8:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0588d5399081908a959f47a7ea74d7 |
completed | May 14, 2026, 8:33 a.m. |
Created at: April 10, 2026, 10:46 a.m.