Triple
T18244639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benny Hill |
E436917
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Hawthorne |
—
|
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: Hawthorne | Statement: [Benny Hill, middleName, Hawthorne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hawthorne Context triple: [Benny Hill, middleName, Hawthorne]
-
A.
Hawthorne
Hawthorne is a medical drama television series centered on the personal and professional challenges of a compassionate chief nursing officer in a struggling hospital.
-
B.
Hawthorne
Hawthorne is a city in southwestern Los Angeles County, California, known as a residential and commercial suburb within the Greater Los Angeles area.
-
C.
Hawthorne
chosen
Hawthorne is a surname of English origin borne by various notable individuals across fields such as literature, science, and public life.
-
D.
Hawthorne
Hawthorne is a small, affluent residential neighborhood in the northwestern part of Washington, D.C., known for its leafy streets and suburban character.
-
E.
Hawthorne
Hawthorne is a planned residential community within Willingboro Township, New Jersey, characterized by its suburban layout and neighborhood design.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e5d63081908d0e6249578867a1 |
completed | April 19, 2026, 3:42 p.m. |
Created at: April 10, 2026, 10:33 a.m.