Triple
T25620731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag Protection Act of 1989 |
E642288
|
entity |
| Predicate | affectedByCourtCase |
P140370
|
FINISHED |
| Object | United States v. Haggerty |
—
|
NE NERFINISHED |
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: United States v. Haggerty | Statement: [Flag Protection Act of 1989, affectedByCourtCase, United States v. Haggerty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectedByCourtCase Context triple: [Flag Protection Act of 1989, affectedByCourtCase, United States v. Haggerty]
-
A.
influencedByCourtCase
chosen
Indicates that an entity’s state, decision, or development is shaped or altered as a result of a specific court case or its outcome.
-
B.
affectedCourt
Indicates that a particular court is impacted or influenced by a specified action, decision, or legal matter.
-
C.
associatedWithCourt
Indicates a relationship in which an entity is linked or connected to a specific court, such as through jurisdiction, affiliation, or involvement in legal proceedings.
-
D.
associatedCourtCase
Indicates a relationship where one entity is linked to, or involved in, a particular court case.
-
E.
influencedCourtDecision
Indicates that one entity had an effect on or contributed to the outcome of a court’s decision regarding another entity or matter.
- 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_69e77e7a96748190b10f2699041e4e43 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6456608190b94e7c2e2c2a4824 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 21, 2026, 5:04 p.m.