Triple
T29822200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lamar S. Smith |
E757272
|
entity |
| Predicate | sponsorOfLegislation |
P169695
|
FINISHED |
| Object | Stop Online Piracy Act |
—
|
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: Stop Online Piracy Act | Statement: [Lamar S. Smith, sponsorOfLegislation, Stop Online Piracy Act]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sponsorOfLegislation Context triple: [Lamar S. Smith, sponsorOfLegislation, Stop Online Piracy Act]
-
A.
sponsorOfHouseResolution
Indicates that an entity formally sponsors or introduces a specific house resolution in a legislative body.
-
B.
typeOfLegislationSponsored
Indicates the specific category or kind of legislation that an entity has sponsored.
-
C.
signedLegislation
Indicates that an authority formally approved and enacted a piece of legislation into law by signing it.
-
D.
supportedLegislation
Indicates that an entity endorsed, promoted, or voted in favor of a particular piece of legislation.
-
E.
sponsorPartyInCongress
Indicates that one party in a congress formally supports, promotes, or initiates an action, proposal, or measure on behalf of another party within that legislative body.
- 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_69f2245701c88190ad42415a0956c4ed |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f68048391c8190abe6580678f8a9ef |
completed | May 2, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f7e116c819099aec724e9ef3763 |
completed | May 2, 2026, 10:49 p.m. |
Created at: April 29, 2026, 5:29 p.m.