Triple
T37504732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harris v. McRae |
E932062
|
entity |
| Predicate | hasProgramInvolved |
P205934
|
FINISHED |
| Object | Medicaid |
E22982
|
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: Medicaid | Statement: [Harris v. McRae, hasProgramInvolved, Medicaid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProgramInvolved Context triple: [Harris v. McRae, hasProgramInvolved, Medicaid]
-
A.
hasBeenInvolvedIn
Indicates that an entity has participated in, taken part in, or been connected to a particular event, activity, or situation.
-
B.
hasMemberInvolvedIn
Indicates that a group or collective entity has at least one of its members participating in or engaged with a specified activity, event, or situation.
-
C.
hasStateInvolved
Indicates that a particular state (as a political or administrative entity) participates in, is implicated in, or plays a role within a given situation, event, or relationship.
-
D.
hasPeopleInvolved
Indicates that certain people participate in, are associated with, or are otherwise involved in the referenced entity or event.
-
E.
hasAuthorityInvolved
Indicates that an authority or official body is involved in, oversees, or has jurisdiction over the referenced situation or relationship.
- F. None of above. chosen
Provenance (5 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_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 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. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:17 p.m.