Triple
T20495698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Harvey |
E502866
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | Harry Harvey |
—
|
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: Harry Harvey | Statement: [Harry Harvey, knownAs, Harry Harvey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Harvey Context triple: [Harry Harvey, knownAs, Harry Harvey]
-
A.
Harry Harvey
chosen
Harry Harvey was an American character actor known for his numerous supporting roles in Western films and television series during the mid-20th century.
-
B.
Harvey Thew
Harvey Thew was an American screenwriter active during the early 20th century, known for adapting stories and plays for Hollywood films.
-
C.
Harvey Harrison
Harvey Harrison is a cinematographer known for his work on feature films, including the 1986 drama "Castaway."
-
D.
Harvey Broome
Harvey Broome was an American conservationist, writer, and early wilderness advocate who played a key role in the modern environmental movement.
-
E.
Harry Antrim
Harry Antrim was an American character actor known for his supporting roles in mid-20th-century films and television.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbd2dfc81908204f7bfa8a763b6 |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.