Triple
T20100239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amanda Lane |
E496513
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Jane 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: Jane Lane | Statement: [Amanda Lane, child, Jane Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jane Lane Context triple: [Amanda Lane, child, Jane Lane]
-
A.
Jane Lane
chosen
Jane Lane is a fictional, sardonic high school student and aspiring artist from the animated television series "Daria."
-
B.
Ave Maria Lane
Ave Maria Lane is a historic street in the City of London, near St Paul’s Cathedral, traditionally associated with the medieval book and publishing trade.
-
C.
Leota Lane
Leota Lane was an American actress and singer, best known as one of the performing Lane sisters who appeared in films and on radio in the 1930s and 1940s.
-
D.
Aurora Lane
Aurora Lane is a central character in the science fiction film "Passengers," portrayed as a journalist who awakens early from hibernation on an interstellar voyage.
-
E.
Margo Lane
Margo Lane is the loyal confidante and love interest of the pulp hero The Shadow, often assisting him in his crime-fighting adventures.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666f2298819089659f13556ca305 |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:26 p.m.