Triple
T20591693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Erman |
E505943
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | The Blackwater Lightship |
—
|
NE NERFINISHED |
How this triple was built (3 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 Blackwater Lightship | Statement: [John Erman, directed, The Blackwater Lightship]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Blackwater Lightship Context triple: [John Erman, directed, The Blackwater Lightship]
-
A.
The Lightship
"The Lightship" is a 1985 drama film, based on a Siegfried Lenz novella, about a morally conflicted captain whose isolated vessel is taken over by criminals.
-
B.
The Sea Shall Not Have Them
The Sea Shall Not Have Them is a 1954 British World War II drama film centered on an RAF air-sea rescue mission in the North Sea.
-
C.
The Rudder
The Rudder is a foundational compendium of Eastern Orthodox canon law and church regulations, widely used as an authoritative guide for ecclesiastical discipline and practice.
-
D.
The Narrow Sea
The Narrow Sea is the body of water in the world of "A Song of Ice and Fire"/"Game of Thrones" that separates the continent of Westeros from Essos and serves as a crucial route for trade, travel, and invasion.
-
E.
The Bargee
The Bargee is a 1964 British comedy film about a canal boatman reluctant to give up his carefree life on the waterways amid the decline of the canal system.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Blackwater Lightship Target entity description: The Blackwater Lightship is a 2004 television film adaptation of Colm Tóibín’s novel about three generations of Irish women confronting family tensions while caring for a dying son and brother.
-
A.
The Lightship
"The Lightship" is a 1985 drama film, based on a Siegfried Lenz novella, about a morally conflicted captain whose isolated vessel is taken over by criminals.
-
B.
The Sea Shall Not Have Them
The Sea Shall Not Have Them is a 1954 British World War II drama film centered on an RAF air-sea rescue mission in the North Sea.
-
C.
The Rudder
The Rudder is a foundational compendium of Eastern Orthodox canon law and church regulations, widely used as an authoritative guide for ecclesiastical discipline and practice.
-
D.
The Narrow Sea
The Narrow Sea is the body of water in the world of "A Song of Ice and Fire"/"Game of Thrones" that separates the continent of Westeros from Essos and serves as a crucial route for trade, travel, and invasion.
-
E.
The Bargee
The Bargee is a 1964 British comedy film about a canal boatman reluctant to give up his carefree life on the waterways amid the decline of the canal system.
- F. None of above. chosen
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_69e0b4ba6ae88190af871e1f9522c704 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a97c10f081909daf635e9be0dd22 |
completed | April 20, 2026, 10:32 p.m. |
Created at: April 16, 2026, 11:40 a.m.