Triple
T12438552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chronicle |
E297210
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Matthew Jensen |
E289645
|
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: Matthew Jensen | Statement: [Chronicle, cinematographyBy, Matthew Jensen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Jensen Context triple: [Chronicle, cinematographyBy, Matthew Jensen]
-
A.
Matthew Jensen
chosen
Matthew Jensen is a cinematographer best known for his work on major films such as the 2017 superhero movie "Wonder Woman."
-
B.
Todd Jensen
Todd Jensen is a musician best known as a member of the American hard rock band Hardline.
-
C.
David Jensen
David Jensen is a musician known for his work with the soft rock/R&B-influenced indie supergroup Gayngs.
-
D.
John Luessenhop
John Luessenhop is an American film director and screenwriter best known for helming genre and action films, including the horror sequel "Texas Chainsaw 3D."
-
E.
Eric Mabius
Eric Mabius is an American actor best known for his role as Daniel Meade on the television series "Ugly Betty" and for appearances in films such as "Cruel Intentions" and "Resident Evil."
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d8dc0f881908a3da736d8947ce1 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79418e26c819088f3aa608d9d65d6 |
completed | May 3, 2026, 6:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.