Triple
T6627097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moshup |
E149829
|
entity |
| Predicate | otherName |
P39
|
FINISHED |
| Object | Maushope |
E607502
|
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: Maushope | Statement: [Moshup, otherName, Maushope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maushope Context triple: [Moshup, otherName, Maushope]
-
A.
Maushop
chosen
Maushop is a giant, culture-hero figure in Wampanoag and other Northeastern Native American traditions, known for shaping the local landscape and teaching important skills to the people.
-
B.
Mallatobuck
Mallatobuck, often called Malla, is Chewbacca’s Wookiee wife from the Star Wars universe, known primarily from the Star Wars Holiday Special and related expanded media.
-
C.
Muste
Muste is a surname most notably associated with A. J. Muste, a prominent 20th-century American clergyman and pacifist activist.
-
D.
Mümling
The Mümling is a river in the Odenwald region of Germany that flows through Hesse and Bavaria before joining the Main.
-
E.
Maashees
Maashees is a small village in the Dutch province of North Brabant, situated along the river Meuse and known for its rural character and historic church.
- 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afa0feb0819099629c0fba590a05 |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eeeaa67881908bef71c5fa61c599 |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 1:59 p.m.