Triple
T20728761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hattie Maloney |
E509509
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Panama Hattie |
—
|
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: Panama Hattie | Statement: [Hattie Maloney, appearsIn, Panama Hattie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panama Hattie Context triple: [Hattie Maloney, appearsIn, Panama Hattie]
-
A.
Panama Hattie
chosen
Panama Hattie is a 1940 Broadway musical comedy with music and lyrics by Cole Porter, known for its witty songs and lighthearted story set in the Panama Canal Zone.
-
B.
Misis
Misis is an ancient city in modern-day Turkey, historically known as Mopsuestia, which was an important settlement in the Cilicia region through Hellenistic, Roman, and Byzantine times.
-
C.
Mrs. Jumbo
Mrs. Jumbo is the loving elephant mother in Disney’s animated film "Dumbo," best known for her fierce devotion to her son despite his unusually large ears.
-
D.
Havana Brown
Havana Brown is an Australian DJ, singer, and producer best known for her dance-pop hits and energetic club performances.
-
E.
Tetty
Tetty is the affectionate nickname of Elizabeth Johnson, the wife of 18th-century English writer Samuel Johnson.
- 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1eb5d44819082d9fa410e676d91 |
completed | April 21, 2026, 12:16 a.m. |
Created at: April 16, 2026, 12:30 p.m.