Triple
T11806754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Balfour |
E280765
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Julia Hudson |
E279601
|
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: Julia Hudson | Statement: [William Balfour, spouse, Julia Hudson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julia Hudson Context triple: [William Balfour, spouse, Julia Hudson]
-
A.
Julia Hudson
chosen
Julia Hudson is an American woman known to the public primarily as the sister of singer and actress Jennifer Hudson.
-
B.
Julia Faye
Julia Faye was an American actress best known for her frequent collaborations with director Cecil B. DeMille during the silent and early sound film eras.
-
C.
Leslie Ann Jones
Leslie Ann Jones is an acclaimed American recording and mixing engineer and producer known for her pioneering work in music and film scoring, including long tenure at Skywalker Sound.
-
D.
Danielle Adams
Danielle Adams is an American professional basketball player best known for her scoring ability as a forward in the WNBA.
-
E.
Justine Lupe
Justine Lupe is an American actress known for her roles in television series such as Mr. Mercedes and Succession.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5c8324481909a54852a9bb714e0 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f131726ab08190ae777bee3ac6df43 |
completed | April 28, 2026, 10:15 p.m. |
Created at: April 8, 2026, 9:42 p.m.