Triple
T221363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Society |
E4220
|
entity |
| Predicate | follows |
P134
|
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: [Great Society, follows, Fair Deal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fair Deal Context triple: [Great Society, follows, 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.
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.
-
C.
Nice
Nice is a prominent Mediterranean coastal city on the French Riviera, known for its mild climate, beaches, and vibrant cultural life.
-
D.
Day of Goodwill
Day of Goodwill is a South African public holiday observed on December 26 that focuses on charity, generosity, and spending time with family and community.
-
E.
Alright
"Alright" is a song featured on John Legend's debut studio album "Get Lifted."
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c6e6fbc8190a8744e193df513e8 |
completed | Feb. 28, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a34d953f308190b15fc5768b5b5e6f |
completed | Feb. 28, 2026, 8:18 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.