Triple
T21397466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Halls |
E527821
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Henry Halls |
—
|
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: Henry Halls | Statement: [Simon Halls, hasChild, Henry Halls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Halls Context triple: [Simon Halls, hasChild, Henry Halls]
-
A.
Henry Halls
chosen
Henry Halls is one of the children of American actor Matt Bomer and his husband, publicist Simon Halls.
-
B.
George Hall
George Hall was a Canadian actor best known for portraying the elderly Indiana Jones in the television series "The Young Indiana Jones Chronicles."
-
C.
John Hallam
John Hallam was a British character actor known for his imposing presence and frequent roles in fantasy and historical films and television series.
-
D.
Henry Bynneman
Henry Bynneman was a prominent 16th-century English printer and publisher known for producing influential works of the Elizabethan era.
-
E.
Raymond Hill
Raymond Hill was an American tenor saxophonist best known for his work on the pioneering rock and roll recording "Rocket 88."
- 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b16a9c7c819083bd2d298106fdf1 |
completed | April 22, 2026, 11:30 a.m. |
Created at: April 16, 2026, 5:13 p.m.