Triple
T37504723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harris v. McRae |
E932062
|
entity |
| Predicate | hasRespondentOffice |
P15067
|
FINISHED |
| Object | Secretary of Health, Education, and Welfare |
E1432335
|
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: Secretary of Health, Education, and Welfare | Statement: [Harris v. McRae, hasRespondentOffice, Secretary of Health, Education, and Welfare]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRespondentOffice Context triple: [Harris v. McRae, hasRespondentOffice, Secretary of Health, Education, and Welfare]
-
A.
respondentOffice
chosen
Indicates the office or organizational unit that serves as the respondent in a given case, inquiry, or interaction.
-
B.
hasAssociatedOffice
Indicates that an entity is linked to or connected with a particular office in an official or functional capacity.
-
C.
respondentStatus
Indicates the current role, condition, or state of a respondent in relation to a survey, inquiry, or legal/administrative process.
-
D.
hasProperOffice
Indicates that an entity maintains an officially designated, appropriate office or place of business.
-
E.
hasOffice
Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
- F. None of above.
Provenance (4 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_69f76ec5268481909ea01c73aeeefd42 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a4095333918819098517c4c2c2398f6 |
completed | June 28, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.