Triple
T28935613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patriot (Eli Bradley) |
E733905
|
entity |
| Predicate | carriesOnLegacyOf |
P30291
|
FINISHED |
| Object | Isaiah Bradley |
—
|
NE NERFINISHED |
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: Isaiah Bradley | Statement: [Patriot (Eli Bradley), carriesOnLegacyOf, Isaiah Bradley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carriesOnLegacyOf Context triple: [Patriot (Eli Bradley), carriesOnLegacyOf, Isaiah Bradley]
-
A.
honoursLegacyOf
chosen
Indicates that one entity actively preserves, respects, or celebrates the memory, values, or achievements of another entity from the past.
-
B.
managedLegacyOf
Indicates that one entity was responsible for overseeing, preserving, or directing the continuation and impact of another entity’s legacy.
-
C.
carriesOnBack
Indicates that one entity supports and transports another entity positioned on its back.
-
D.
usesLegacyOf
Indicates that one entity makes use of, builds upon, or derives benefit from the historical work, reputation, or established influence of another entity.
-
E.
missionLegacy
Indicates that an entity’s influence, values, or objectives continue to persist and shape outcomes beyond the original mission’s active period.
- 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_69f05b0b49b08190b8994b339c7980f6 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 28, 2026, 8:32 a.m.