Triple
T9149781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James G. Batterson |
E219553
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Batterson
Batterson is an English-language surname borne by various notable individuals, including American businessman and monument maker James G. Batterson.
|
E781279
|
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: Batterson | Statement: [James G. Batterson, familyName, Batterson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Batterson Context triple: [James G. Batterson, familyName, Batterson]
-
A.
Bennett
Bennett is a common English-language surname of Anglo-Norman origin borne by numerous notable individuals across politics, arts, and sciences.
-
B.
Bennett
Bennett is the main villain and former comrade-turned-mercenary antagonist who battles Arnold Schwarzenegger’s character in the 1985 action film "Commando."
-
C.
Tibbetts
Tibbetts is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
-
D.
Bessette
Bessette is a French-origin surname notably associated with Carolyn Bessette-Kennedy, the late wife of John F. Kennedy Jr.
-
E.
Bresnahan
Bresnahan is a surname most notably associated with early 20th-century American baseball player and Hall of Fame catcher Roger Bresnahan.
- 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: Batterson Triple: [James G. Batterson, familyName, Batterson]
Generated description
Batterson is an English-language surname borne by various notable individuals, including American businessman and monument maker James G. Batterson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Batterson Target entity description: Batterson is an English-language surname borne by various notable individuals, including American businessman and monument maker James G. Batterson.
-
A.
Bennett
Bennett is a common English-language surname of Anglo-Norman origin borne by numerous notable individuals across politics, arts, and sciences.
-
B.
Bennett
Bennett is the main villain and former comrade-turned-mercenary antagonist who battles Arnold Schwarzenegger’s character in the 1985 action film "Commando."
-
C.
Tibbetts
Tibbetts is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
-
D.
Bessette
Bessette is a French-origin surname notably associated with Carolyn Bessette-Kennedy, the late wife of John F. Kennedy Jr.
-
E.
Bresnahan
Bresnahan is a surname most notably associated with early 20th-century American baseball player and Hall of Fame catcher Roger Bresnahan.
- 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_69ca83e121dc81909912bd66953081c5 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca96908d88190a1d12517f6d1aece |
completed | April 1, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0483cdd048190904260c44a5810cf |
completed | April 3, 2026, 11:07 p.m. |
| NEDg | Description generation | batch_69d049f8cd8c819098bf63cfbe7bcc1c |
completed | April 3, 2026, 11:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d04a58f6288190931a7e4ab3d8ec02 |
completed | April 3, 2026, 11:16 p.m. |
Created at: March 30, 2026, 7:20 p.m.