Triple
T10588704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanna (2011 film) |
E249924
|
entity |
| Predicate | inspired |
P9
|
FINISHED |
| Object | Hanna (TV series) |
E249924
|
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: Hanna (TV series) | Statement: [Hanna (2011 film), inspired, Hanna (TV series)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanna (TV series) Context triple: [Hanna (2011 film), inspired, Hanna (TV series)]
-
A.
Hanna
Hanna was the wife of the influential 16th-century Jewish legal scholar and codifier Rabbi Joseph Karo.
-
B.
Hanna
chosen
"Hanna" is a 2011 action thriller film about a teenage girl trained as an assassin, known for its stylized direction and electronic score by The Chemical Brothers.
-
C.
Hanna K.
Hanna K. is a 1983 political drama film by Costa-Gavras that explores the Israeli–Palestinian conflict through the story of a Jewish-American lawyer in Jerusalem.
-
D.
Maura
Maura is a village in Nannestad Municipality in Viken county, Norway, known as a residential community with local services and proximity to Oslo Airport Gardermoen.
-
E.
Maura
Maura is a feminine given name commonly used in English-speaking countries, often considered a variant of Mary or Maureen.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d527793c588190bfe3a5261eb7f919 |
completed | April 7, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e7df88081908e3d77f357f176e3 |
completed | April 10, 2026, 8:33 p.m. |
Created at: April 6, 2026, 12:40 p.m.