Triple
T1414880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff East |
E31891
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | East |
E74855
|
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: East | Statement: [Jeff East, familyName, East]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: East Context triple: [Jeff East, familyName, East]
-
A.
the East
The East is a region traditionally associated with the lands of the rising sun and, in biblical context, the homeland of the wise men who traveled to visit the newborn Jesus.
-
B.
EAST
EAST is the time zone abbreviation commonly used to denote Easter Island Standard Time, observed on Easter Island in Chile.
-
C.
Easty
Easty is the surname of Mary Easty, one of the women executed during the Salem witch trials in 1692.
-
D.
North
North is a 1975 poetry collection by Nobel laureate Seamus Heaney that explores themes of Irish history, violence, and identity through mythic and archaeological imagery.
-
E.
North
chosen
North is an English surname historically associated with several notable figures in British politics and society.
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3e5f9d08190861206934cd71fd8 |
completed | March 1, 2026, 10:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace5812abc819091894509e9d6bd77 |
completed | March 8, 2026, 2:57 a.m. |
Created at: March 1, 2026, 7:59 p.m.