Triple
T3756353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarendon County school board |
E82056
|
entity |
| Predicate | sideInLawsuit |
P15954
|
FINISHED |
| Object | defendant in Briggs v. Elliott |
—
|
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: defendant in Briggs v. Elliott | Statement: [Clarendon County school board, sideInLawsuit, defendant in Briggs v. Elliott]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sideInLawsuit Context triple: [Clarendon County school board, sideInLawsuit, defendant in Briggs v. Elliott]
-
A.
partyTypePlaintiffs
Indicates the classification or category of the parties serving as plaintiffs in a legal action.
-
B.
hasSpouseOrPartnerInLegalCaseWith
Indicates that two individuals are spouses or partners who are jointly involved in the same legal case.
-
C.
partyToCase
chosen
Indicates that an entity is involved in a legal case as one of its formal participants (e.g., plaintiff, defendant, or other party).
-
D.
plaintiffAncestry
Indicates that one entity is the plaintiff and stands in an ancestral or lineage-based relationship to another entity.
-
E.
sisterParty
Indicates that two political parties are formally affiliated or closely aligned as counterpart organizations, often in different regions or countries.
- 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbbe7a6081909b0f835a77941300 |
completed | March 8, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69adc04c851c8190ae5eaebf36df539b |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.