Triple
T16495967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 45690 Leander |
E400684
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Leander |
E338145
|
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: Leander | Statement: [45690 Leander, name, Leander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leander Context triple: [45690 Leander, name, Leander]
-
A.
Leander
chosen
Leander is a masculine given name of Greek origin, best known from the myth of Hero and Leander.
-
B.
Geary
Geary is a small crofting settlement on the Waternish peninsula of the Isle of Skye in Scotland.
-
C.
Niles
Niles is the witty, sarcastic butler from the sitcom "The Nanny," known for his sharp one-liners and ongoing rivalry with C.C. Babcock.
-
D.
Niles
Niles is a historic former town in California, now a district of Fremont, known for its early silent film industry and railroad heritage.
-
E.
Savio
Savio is an Italian surname most notably associated with Mario Savio, a key figure in the 1960s American Free Speech Movement.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e332c1c8190888a042d0192233a |
completed | April 18, 2026, 7:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a005828849481909e95c5822ed6f74d |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:14 a.m.