Triple
T9063384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Billings Brown |
E217183
|
entity |
| Predicate | priorPosition |
P65254
|
FINISHED |
| Object | judge of the United States District Court for the Eastern District of Michigan |
—
|
LITERAL 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: judge of the United States District Court for the Eastern District of Michigan | Statement: [Henry Billings Brown, priorPosition, judge of the United States District Court for the Eastern District of Michigan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: priorPosition Context triple: [Henry Billings Brown, priorPosition, judge of the United States District Court for the Eastern District of Michigan]
-
A.
positionOnPast
chosen
Indicates that one entity occupied a specific position or location relative to another entity at some point in the past.
-
B.
primaryPosition
Indicates the main role, job, or position an entity holds among potentially multiple positions.
-
C.
positionB
Indicates that one entity occupies or is located at a specific position relative to another entity.
-
D.
previousAlignment
Indicates that one entity’s alignment or orientation occurred earlier in time than another’s.
-
E.
positionA
Indicates the spatial or ordered position of an entity A within a defined reference frame or sequence.
- F. None of above.
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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc94b9f28481909e20366b0e3d14aa |
completed | April 1, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69cc65f881248190bfd220bb28a9fb5f |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:11 p.m.