Triple
T7486075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronald H. Bradley et al. |
E176884
|
entity |
| Predicate | claimedHarm |
P65298
|
FINISHED |
| Object | racially segregated public education |
—
|
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: racially segregated public education | Statement: [Ronald H. Bradley et al., claimedHarm, racially segregated public education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: claimedHarm Context triple: [Ronald H. Bradley et al., claimedHarm, racially segregated public education]
-
A.
allegedInjury
chosen
Indicates that an injury is claimed or asserted to have occurred, typically without being legally or factually established.
-
B.
claimedRight
Indicates that an entity asserts or demands a right or entitlement in relation to another entity or resource.
-
C.
claimed
Indicates that an entity has asserted or stated something as true, often without definitive proof or verification.
-
D.
claimsEffect
Indicates that one entity asserts or states that another entity has a particular effect or impact.
-
E.
typeOfClaim
Indicates the specific category or nature of a claim being made in relation to an entity or statement.
- 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_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f556955c8190bf014a065e04c5d8 |
completed | March 27, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69c6f03eeaa88190a5215772ed05ee9f |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:42 p.m.