Triple
T10467787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingsman umbrella |
E246843
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Harry Hart |
E48818
|
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: Harry Hart | Statement: [Kingsman umbrella, usedBy, Harry Hart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Hart Context triple: [Kingsman umbrella, usedBy, Harry Hart]
-
A.
Harry Hart
chosen
Harry Hart is a suave, highly skilled British secret agent and mentor figure in the Kingsman film series.
-
B.
Peter Kerrigan
Peter Kerrigan was a British actor known for his work in television and film, particularly in socially conscious dramas of the late 20th century.
-
C.
George Hackathorne
George Hackathorne was an American silent film actor active in the 1910s and 1920s, known for his roles in early Hollywood productions.
-
D.
Lee Chandler
Lee Chandler is the emotionally withdrawn Boston janitor and handyman at the center of the film "Manchester by the Sea," whose tragic past drives the movie’s exploration of grief and guilt.
-
E.
Nathan Barr
Nathan Barr is an American film and television composer known for his atmospheric scores on projects ranging from horror films to acclaimed series like True Blood and The Americans.
- 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_69d5092e3230819098ab444f73c9bd40 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90dac584081909a79bc300b9338c8 |
completed | April 10, 2026, 2:48 p.m. |
Created at: April 6, 2026, 12:20 p.m.