Triple
T11931296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Best |
E283918
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Henry Best |
E283918
|
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: Henry Best | Statement: [Henry Best, name, Henry Best]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Best Context triple: [Henry Best, name, Henry Best]
-
A.
Henry Best
chosen
Henry Best is a relatively obscure historical figure whose name is notably associated with the surname "Best."
-
B.
Henry Gayden
Henry Gayden is an American screenwriter best known for writing the superhero film "Shazam!" and its sequel in the DC Extended Universe.
-
C.
Arthur Lithgow
Arthur Lithgow was an American theater director and producer best known for his pioneering work in regional theater and Shakespeare festivals in the mid-20th century.
-
D.
George Jessel
George Jessel was an American actor, comedian, and film producer known as "The Toastmaster General of the United States" for his prolific work in entertainment and public speaking.
-
E.
Oscar Eckenstein
Oscar Eckenstein was a pioneering British mountaineer and climbing innovator known for advancing modern ice-climbing techniques and equipment design in the late 19th and early 20th centuries.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90303a9a88190a4044e6310ba9b4b |
completed | April 10, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f458a576fc8190b68b27365cd53caf |
completed | May 1, 2026, 7:39 a.m. |
Created at: April 8, 2026, 9:45 p.m.