Triple
T10382847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sissy Spacek |
E244684
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | JFK |
E305
|
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: JFK | Statement: [Sissy Spacek, notableWork, JFK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JFK Context triple: [Sissy Spacek, notableWork, JFK]
-
A.
JFK
JFK is John F. Kennedy International Airport, a major international air travel hub serving New York City.
-
B.
John F. Kennedy
chosen
John F. Kennedy was the 35th president of the United States, known for his leadership during the Cold War, the Cuban Missile Crisis, and the early stages of the civil rights movement before his assassination in 1963.
-
C.
RJFK
RJFK is the ICAO airport code for Kagoshima Airport, a regional and domestic aviation hub on Japan’s Kyushu island.
-
D.
Kennedy
Kennedy is a prominent Irish-American political and public-service family best known for producing U.S. President John F. Kennedy and numerous other influential politicians.
-
E.
Kennedy
Kennedy is a given name shared by various notable individuals across fields such as politics, music, and entertainment.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e992d8e08190aaa9a04925f52ccc |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fba398b88190ae3223218bf53ca7 |
completed | April 9, 2026, 7:18 p.m. |
Created at: April 6, 2026, 12:04 p.m.