Triple
T19293248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Ætheling |
E482493
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Count of Maine |
—
|
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: Count of Maine | Statement: [William Ætheling, title, Count of Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Count of Maine Context triple: [William Ætheling, title, Count of Maine]
-
A.
Count of Maine
chosen
The Count of Maine was a medieval French noble title associated with the strategically important province of Maine, often held by powerful royal and princely figures such as Charles I of Anjou.
-
B.
Penobscot, Maine
Penobscot, Maine is a small coastal town in Hancock County known for its rural character, historic New England charm, and location along the Penobscot Bay region.
-
C.
Rockland, Maine
Rockland, Maine is a coastal city in midcoast Maine known for its busy harbor, maritime industries, and role as a transportation and cultural hub for the region.
-
D.
Hope, Maine
Hope, Maine is a small rural town in coastal Knox County known for its scenic lakes, rolling hills, and quiet New England character.
-
E.
Freedom, Maine
Freedom, Maine is a small rural town in central Maine known for its scenic countryside and tight-knit community.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc824b448190865230eed8ef9ebf |
completed | April 20, 2026, 10:14 a.m. |
Created at: April 10, 2026, 1:31 p.m.