Triple
T226690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Obergefell v. Hodges |
E4328
|
entity |
| Predicate | respondentPosition |
P9299
|
FINISHED |
| Object | Director of the Ohio Department of Health |
—
|
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: Director of the Ohio Department of Health | Statement: [Obergefell v. Hodges, respondentPosition, Director of the Ohio Department of Health]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: respondentPosition Context triple: [Obergefell v. Hodges, respondentPosition, Director of the Ohio Department of Health]
-
A.
defendant
Indicates that an entity is the party accused or sued in a legal action or proceeding.
-
B.
subjectPosition
Indicates the spatial or logical position of a subject relative to a reference frame, context, or other entities.
-
C.
petitionerRole
Indicates the role or capacity in which a petitioner is acting within a legal or formal proceeding.
-
D.
petitioner
Indicates a relationship where one party formally requests a legal remedy or action from a court or authority.
-
E.
resignationDateOfRespondent
Indicates the date on which the respondent formally resigned from their position or role.
- F. None of above. chosen
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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25d10ac248190a98dedabf5358668 |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b5877588190af694d060377f027 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25d0ec71081908478c800be4f7bb0 |
completed | Feb. 28, 2026, 3:12 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.