Triple
T7741874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Assam |
E175528
|
entity |
| Predicate | hasEthnicGroup |
P1898
|
FINISHED |
| Object | Moran |
E684945
|
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: Moran | Statement: [Upper Assam, hasEthnicGroup, Moran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moran Context triple: [Upper Assam, hasEthnicGroup, Moran]
-
A.
Moran
Moran is a surname most prominently associated with American jazz pianist and composer Jason Moran.
-
B.
Moran
chosen
Moran is a town in the Indian state of Assam, known historically as a regional commercial and cultural center in the Upper Assam area.
-
C.
Bugs Moran
Bugs Moran was a notorious American gangster and bootlegger in Chicago during the Prohibition era, best known as a rival of Al Capone and a target of the St. Valentine’s Day Massacre.
-
D.
Callaghan
Callaghan is a surname of Irish origin borne by numerous notable individuals in politics, sports, and the arts.
-
E.
Mahony
Mahony is the surname of Marion Mahony Griffin, a pioneering American architect and one of the first licensed female architects in the world.
- 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70387807081909546bc7c209955ef |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be454e708190b410dada4f4f1e97 |
completed | March 29, 2026, 5:53 a.m. |
Created at: March 27, 2026, 4:07 p.m.