Triple
T23301007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schorsch Meier GmbH v Hennin |
E590301
|
entity |
| Predicate | involvesJudge |
P19462
|
FINISHED |
| Object | Lawton LJ |
—
|
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: Lawton LJ | Statement: [Schorsch Meier GmbH v Hennin, involvesJudge, Lawton LJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawton LJ Context triple: [Schorsch Meier GmbH v Hennin, involvesJudge, Lawton LJ]
-
A.
Lawton LJ
chosen
Lawton LJ was a Lord Justice of Appeal in the English Court of Appeal known for his influential judgments in tort and criminal law during the late 20th century.
-
B.
Lawson Butt
Lawson Butt was a British silent film actor known for his supporting roles in early 20th-century cinema.
-
C.
Andrew Laws
Andrew Laws is a film and television production designer and art director known for his work on stylized, visually distinctive projects such as the romantic comedy "Down with Love."
-
D.
Andrew Lawson
Andrew Lawson was a pioneering early 20th-century geologist best known for his foundational work on California’s geology and seismic activity, including identifying the San Andreas Fault.
-
E.
Vernon Layton
Vernon Layton is a cinematographer best known for his work on the horror-comedy film "Seed of Chucky."
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196d37fd08190ad2d199c54324c02 |
completed | April 29, 2026, 5:27 a.m. |
Created at: April 17, 2026, 5:04 p.m.