Triple
T1349243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanco v. Haslam |
E28842
|
entity |
| Predicate | plaintiffStatus |
P127
|
FINISHED |
| Object | same-sex couples legally married in other jurisdictions |
—
|
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: same-sex couples legally married in other jurisdictions | Statement: [Tanco v. Haslam, plaintiffStatus, same-sex couples legally married in other jurisdictions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plaintiffStatus Context triple: [Tanco v. Haslam, plaintiffStatus, same-sex couples legally married in other jurisdictions]
-
A.
allegedStatus
Indicates that a particular status or condition is claimed or asserted about an entity, but has not been confirmed as true.
-
B.
appealStatus
Indicates the current state or outcome of an appeal within a review or decision process.
-
C.
status
chosen
Indicates the current condition, state, or standing of an entity within a given context.
-
D.
statusDisputedBy
Indicates that the validity, accuracy, or recognition of a status is being challenged or contested by a specified party.
-
E.
legalOutcome
Indicates the resulting legal status, decision, or consequence that follows from a legal process, action, or judgment.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c268745481908be649526c18e558 |
completed | March 1, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69a4bef5857c81909ae984feb85a26ca |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.