Triple
T20112280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summer Lane |
E490362
|
entity |
| Predicate | hasFamilyMember |
P7844
|
FINISHED |
| Object | Vincent Lane |
—
|
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: Vincent Lane | Statement: [Summer Lane, hasFamilyMember, Vincent Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vincent Lane Context triple: [Summer Lane, hasFamilyMember, Vincent Lane]
-
A.
Vincent Lane
chosen
Vincent Lane is the father of Jane Lane, a character from the animated television series "Daria."
-
B.
Vincent Newman
Vincent Newman is a film producer known for working on a variety of Hollywood movies, including comedies and genre films.
-
C.
Vincent Franklin
Vincent Franklin is a British character actor known for his work in television comedies and dramas such as "The Thick of It," "Cucumber," and "Bodyguard."
-
D.
Scott Lane
Scott Lane is a participant featured in the documentary series "Shots in the Dark," which follows photographers working on the overnight crime beat.
-
E.
Vaughn Franklin
Vaughn Franklin is one of the children of renowned Baptist minister and civil rights activist C. L. Franklin.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666e162108190b19c9559218c8fd6 |
completed | April 20, 2026, 5:48 p.m. |
Created at: April 11, 2026, 11:29 p.m.