Triple
T1923981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norman, Oklahoma |
E40186
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Abner Norman
Abner Norman was an early settler and surveyor whose name was given to the city of Norman, Oklahoma.
|
E214953
|
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: Abner Norman | Statement: [Norman, Oklahoma, namedAfter, Abner Norman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abner Norman Context triple: [Norman, Oklahoma, namedAfter, Abner Norman]
-
A.
Abner Nash
Abner Nash was an American lawyer and politician who served as the second governor of North Carolina during the Revolutionary War era.
-
B.
Abraham Anderson
Abraham Anderson was an American businessman best known as a co-founder of the Campbell Soup Company.
-
C.
Norman Savage
Norman Savage is an editor known for his work on the classic novel "Doctor Zhivago."
-
D.
Winston Hibler
Winston Hibler was an American screenwriter, producer, and narrator best known for his long association with Walt Disney Studios, where he contributed to classic animated features and nature documentaries.
-
E.
Emile Sherman
Emile Sherman is an Australian film and television producer best known for co-producing the Academy Award–winning film "The King’s Speech" and co-founding the production company See-Saw Films.
- 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: Abner Norman Triple: [Norman, Oklahoma, namedAfter, Abner Norman]
Generated description
Abner Norman was an early settler and surveyor whose name was given to the city of Norman, Oklahoma.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abner Norman Target entity description: Abner Norman was an early settler and surveyor whose name was given to the city of Norman, Oklahoma.
-
A.
Abner Nash
Abner Nash was an American lawyer and politician who served as the second governor of North Carolina during the Revolutionary War era.
-
B.
Abraham Anderson
Abraham Anderson was an American businessman best known as a co-founder of the Campbell Soup Company.
-
C.
Norman Savage
Norman Savage is an editor known for his work on the classic novel "Doctor Zhivago."
-
D.
Winston Hibler
Winston Hibler was an American screenwriter, producer, and narrator best known for his long association with Walt Disney Studios, where he contributed to classic animated features and nature documentaries.
-
E.
Emile Sherman
Emile Sherman is an Australian film and television producer best known for co-producing the Academy Award–winning film "The King’s Speech" and co-founding the production company See-Saw Films.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2359ca0819082b514a34c469b21 |
completed | March 7, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3e6678881908d72de7e0f19a648 |
completed | March 8, 2026, 10:10 p.m. |
| NEDg | Description generation | batch_69adf472aca881908d99cf5bfcae3094 |
completed | March 8, 2026, 10:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adf50d93c88190aa1cbf96526558b6 |
completed | March 8, 2026, 10:15 p.m. |
Created at: March 4, 2026, 7:35 p.m.