Triple
T18815931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Field |
E460133
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Love Field |
—
|
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: Love Field | Statement: [Love Field, shortName, Love Field]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Field Context triple: [Love Field, shortName, Love Field]
-
A.
Love Field
Love Field is a 1992 American drama film set around the aftermath of President John F. Kennedy’s assassination, starring Michelle Pfeiffer and featuring Dennis Haysbert in a prominent role.
-
B.
Love Field
chosen
Love Field is a public airport in Dallas, Texas, historically known as the city’s primary airport before the opening of Dallas/Fort Worth International Airport.
-
C.
Berry Field
Berry Field was the original name of what is now Nashville International Airport, a major air travel hub serving Nashville, Tennessee.
-
D.
Brown Field
Brown Field is a military training area associated with the United States Marine Corps Officer Candidates School.
-
E.
Bugle Field
Bugle Field was a historic Negro league baseball park in Baltimore, Maryland, that served as a key venue for African American baseball during the early 20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3e092e081908fc310c70f646e79 |
completed | April 20, 2026, 3:56 a.m. |
Created at: April 10, 2026, 11:53 a.m.