Triple
T18890741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katharine Lee Bates |
E462078
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bates |
—
|
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: Bates | Statement: [Katharine Lee Bates, familyName, Bates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bates Context triple: [Katharine Lee Bates, familyName, Bates]
-
A.
Bates
chosen
Bates is a common English surname borne by numerous notable individuals across fields such as politics, civil rights, literature, and entertainment.
-
B.
The Bates Haunting
The Bates Haunting is a 2012 low-budget American horror film set in a haunted corn maze, blending slasher and supernatural elements with dark comedy.
-
C.
Harvey
Harvey is a masculine given name of Old English origin meaning "battle worthy" or "strong in battle."
-
D.
Harvey
Harvey is a rural town in the South West of Western Australia known for its agriculture, dairy production, and citrus orchards.
-
E.
Harvey
Harvey is a classic 1950 American comedy film in which James Stewart plays a genial man whose best friend is an invisible six-foot-tall rabbit.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c47ab34c8190bfb69444a5263538 |
completed | April 20, 2026, 6:15 a.m. |
Created at: April 10, 2026, 11:58 a.m.