Triple
T15157087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girouard v. United States |
E362105
|
entity |
| Predicate | partyRoleOfGirouard |
P92687
|
FINISHED |
| Object | naturalization applicant |
—
|
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: naturalization applicant | Statement: [Girouard v. United States, partyRoleOfGirouard, naturalization applicant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partyRoleOfGirouard Context triple: [Girouard v. United States, partyRoleOfGirouard, naturalization applicant]
-
A.
partyRoleOfFrance
Indicates the specific role or capacity that France holds as a party within a given agreement, event, or relationship.
-
B.
roleInFronde
Indicates that an entity participated in or held a specific role within the historical conflict known as the Fronde.
-
C.
positionRelativeToGirondins
Indicates the spatial or positional relationship of an entity with respect to the Girondins.
-
D.
factionRole
chosen
Indicates the specific role, function, or position an entity holds within a particular faction or group.
-
E.
roleInMurderOnTheOrientExpress
Indicates the specific involvement or function an entity has within the context of the murder case in "Murder on the Orient Express."
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0060c62b08190bcdbd912d011d1ba |
completed | April 15, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69deb9779acc81908ed2dad382c42dca |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:08 a.m.