Triple
T10465112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Long Way Down |
E246773
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Martin Sharp |
E291719
|
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: Martin Sharp | Statement: [A Long Way Down, mainCharacter, Martin Sharp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Sharp Context triple: [A Long Way Down, mainCharacter, Martin Sharp]
-
A.
Martin Sharp
chosen
Martin Sharp was an influential Australian pop artist, cartoonist, and songwriter known for his psychedelic album covers and contributions to the 1960s counterculture.
-
B.
Alan Sharp
Alan Sharp was a Scottish novelist and acclaimed screenwriter known for his complex, character-driven scripts in films such as "The Hired Hand" and "Night Moves."
-
C.
Michael Sharp
Michael Sharp is a relatively common personal name that may refer to multiple individuals across different fields, such as academia, the arts, or public service.
-
D.
John Sharp
John Sharp was an English clergyman and theologian known for his influential sermons and religious writings in the late 17th and early 18th centuries.
-
E.
John Sharp
John Sharp was a British character actor known for his numerous supporting roles in film and television from the 1950s through the 1980s.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50886c2a8819086da6c08356ec6bf |
completed | April 7, 2026, 1:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89fe6129881908c658ff977e68135 |
completed | April 10, 2026, 6:59 a.m. |
Created at: April 6, 2026, 12:19 p.m.