Triple
T14329799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filip Telford |
E355314
|
entity |
| Predicate | rankProgression |
P34755
|
FINISHED |
| Object | member to sergeant-at-arms to vice president |
—
|
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: member to sergeant-at-arms to vice president | Statement: [Filip Telford, rankProgression, member to sergeant-at-arms to vice president]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankProgression Context triple: [Filip Telford, rankProgression, member to sergeant-at-arms to vice president]
-
A.
rankGrade
Indicates the grade or level assigned to an entity within a ranking or evaluation system.
-
B.
rankStatus
chosen
Indicates the hierarchical level or position an entity holds within an ordered ranking or status system.
-
C.
rankingStatus
Indicates the relative position or level an entity holds within an ordered ranking or hierarchy.
-
D.
rankingPoints
Indicates the number of points assigned to an entity based on its position or performance in a ranking or competition.
-
E.
rankTier
Indicates the classification level or tier assigned to an entity within a ranking or hierarchical system.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c1def0081908f03cda8e84d20c0 |
completed | April 14, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:13 a.m.