Triple
T2681406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose Wilder Lane |
E56581
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Lane |
E7099
|
NE FINISHED |
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: Lane | Statement: [Rose Wilder Lane, familyName, Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lane Context triple: [Rose Wilder Lane, familyName, Lane]
-
A.
Lane
chosen
Lane is a common English surname borne by numerous notable individuals across fields such as science, politics, and the arts.
-
B.
Hosier Lane
Hosier Lane is a famous laneway in Melbourne renowned for its ever-changing street art and graffiti-covered walls, making it a major attraction for urban art enthusiasts.
-
C.
Langway
Langway is the surname of Rod Langway, a Hall of Fame National Hockey League defenseman known for his defensive prowess with the Washington Capitals.
-
D.
Jane Lane
Jane Lane is a fictional, sardonic high school student and aspiring artist from the animated television series "Daria."
-
E.
Ledo Road
Ledo Road was a World War II military supply route built by the Allies through northern Burma to connect India with China and support Chinese forces against Japan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9d4e70c819092f9575feb3955f3 |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc6382a2081909ea7216c19a65e7e |
completed | March 10, 2026, 7:20 a.m. |
Created at: March 6, 2026, 9:54 p.m.