Triple
T4292380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angel |
E99624
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Lorne |
E45502
|
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: Lorne | Statement: [Angel, character, Lorne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lorne Context triple: [Angel, character, Lorne]
-
A.
Lorne
chosen
Lorne is a masculine given name most notably associated with Canadian-American television producer and "Saturday Night Live" creator Lorne Michaels.
-
B.
Lorn
Lorn is a historic district on the west coast of Scotland, known for its rugged landscapes and coastal scenery within the council area of Argyll and Bute.
-
C.
Lorn
Lorn is a residential suburb of Maitland in the Hunter Region of New South Wales, Australia, known for its historic homes and village-like atmosphere.
-
D.
Kinnaird
Kinnaird is a historic Scottish estate and locality traditionally associated with the Carnegie family and the title of Lord Carnegie of Kinnaird.
-
E.
Corrsin
Corrsin is a surname most notably associated with Stanley Corrsin, an influential American fluid dynamicist known for his work on turbulence.
- 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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3508035a08190b752c8edce0aff86 |
completed | March 12, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c739df2c8190af6f8d9bf36afca8 |
completed | March 14, 2026, 8:38 p.m. |
Created at: March 12, 2026, 11:08 p.m.