Triple
T3057244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David J. Barron |
E60510
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Barron
Barron is a surname of English origin borne by various notable individuals across fields such as law, politics, and the arts.
|
E323493
|
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: Barron | Statement: [David J. Barron, familyName, Barron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barron Context triple: [David J. Barron, familyName, Barron]
-
A.
Barron
Barron is the youngest son of former U.S. President Donald Trump and former First Lady Melania Trump.
-
B.
Barr
Barr is a surname and place name of Scottish and Irish origin, associated with various towns, geographic features, and notable individuals.
-
C.
Barnes
Barnes is a riverside district in the London Borough of Richmond upon Thames known for its village-like atmosphere, green spaces, and historic architecture.
-
D.
Barnes
Barnes is the given name of Barnes Wallis, the British engineer and inventor best known for creating the World War II "bouncing bomb."
-
E.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
- 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: Barron Triple: [David J. Barron, familyName, Barron]
Generated description
Barron is a surname of English origin borne by various notable individuals across fields such as law, politics, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barron Target entity description: Barron is a surname of English origin borne by various notable individuals across fields such as law, politics, and the arts.
-
A.
Barron
Barron is the youngest son of former U.S. President Donald Trump and former First Lady Melania Trump.
-
B.
Barr
Barr is a surname and place name of Scottish and Irish origin, associated with various towns, geographic features, and notable individuals.
-
C.
Barnes
Barnes is a riverside district in the London Borough of Richmond upon Thames known for its village-like atmosphere, green spaces, and historic architecture.
-
D.
Barnes
Barnes is the given name of Barnes Wallis, the British engineer and inventor best known for creating the World War II "bouncing bomb."
-
E.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9e162d148190969fb422a45d052c |
completed | March 8, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ef0671e48190a793f907cc211dd8 |
completed | March 11, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69b1efcf4da08190a9fd5fd88bba0358 |
completed | March 11, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f1ce72388190871884c99526057d |
completed | March 11, 2026, 10:50 p.m. |
Created at: March 8, 2026, 3:02 p.m.