Triple
T471044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 81st United States Congress |
E8556
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Fair Deal |
E179
|
NE 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: Fair Deal | Statement: [81st United States Congress, associatedWith, Fair Deal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fair Deal Context triple: [81st United States Congress, associatedWith, Fair Deal]
-
A.
Fair Deal
chosen
The Fair Deal was President Harry S. Truman’s ambitious post–World War II domestic reform program aimed at expanding social welfare, civil rights, and economic opportunity in the United States.
-
B.
FairPlay
FairPlay is Apple’s proprietary digital rights management technology used to protect and control access to media content distributed through its platforms.
-
C.
Good Enough
"Good Enough" is a song by American R&B singer Bobby Brown, known for its smooth new jack swing style and emotive vocals.
-
D.
Fair Play
Fair Play is a documentary film that examines gender inequality in the division of domestic labor and its impact on families and society.
-
E.
Nice
Nice is a prominent Mediterranean coastal city on the French Riviera, known for its mild climate, beaches, and vibrant cultural life.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eff0ca408190958405aec2ec6f53 |
completed | Feb. 28, 2026, 1:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a462f9f1b88190a6c51368b5f80c5f |
completed | March 1, 2026, 4:02 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.