Triple
T18609914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Barron Hilton |
E454864
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Barron |
—
|
NE NERFINISHED |
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: [William Barron Hilton, middleName, Barron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barron Context triple: [William Barron Hilton, middleName, Barron]
-
A.
Barron
Barron is the youngest son of former U.S. President Donald Trump and former First Lady Melania Trump.
-
B.
Barron
chosen
Barron is a surname of English origin borne by various notable individuals across fields such as law, politics, and the arts.
-
C.
Barr
Barr is a surname and place name of Scottish and Irish origin, associated with various towns, geographic features, and notable individuals.
-
D.
Barnes
Barnes is a business partner associated with Joseph Reed, likely involved in a shared professional or commercial venture.
-
E.
Barnes
Barnes is a common English surname of Anglo-Saxon origin, often associated with families from Britain and other English-speaking countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d0048b08190a7dd407f14d95799 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 10, 2026, 11:45 a.m.