Triple
T2455292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barron Trump |
E54405
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Barron |
E54405
|
NE FINISHED |
How this triple was built (2 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: [Barron Trump, givenName, Barron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barron Context triple: [Barron Trump, givenName, Barron]
-
A.
Barron
chosen
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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd105054c819081286729749a347c |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0c7c90c8190ba5ed3cece5e049f |
completed | March 9, 2026, 4:09 p.m. |
Created at: March 6, 2026, 9:44 p.m.