Triple
T18222765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guy Green |
E436346
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Mark |
—
|
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: The Mark | Statement: [Guy Green, notableWork, The Mark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Mark Context triple: [Guy Green, notableWork, The Mark]
-
A.
The Mark
The Mark is a 2003 thriller film about a man who becomes the target of a deadly conspiracy after waking up with a mysterious mark on his arm.
-
B.
The Mark
chosen
The Mark is a 1961 psychological drama film starring Stuart Whitman as a man struggling with his past as a convicted child molester while attempting to rebuild his life.
-
C.
the Mark
The Mark, also known as Rohan, is a prominent kingdom of horse-lords in J.R.R. Tolkien’s Middle-earth, famed for its cavalry and alliance with Gondor.
-
D.
Count of Mark
Count of Mark was a historic noble title associated with the County of Mark in the Holy Roman Empire, often held by rulers who also governed larger German principalities such as Brandenburg and Prussia.
-
E.
The Heldrich
The Heldrich is a modern hotel and conference center located in downtown New Brunswick, New Jersey, known for hosting business events, meetings, and upscale accommodations.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47c85108190bd9707b40bdfdb38 |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 10:32 a.m.