Triple
T8602049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mireille Enos |
E203701
|
entity |
| Predicate | notableWork |
P4
|
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: [Mireille Enos, notableWork, Hanna (TV series)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanna (TV series) Context triple: [Mireille Enos, notableWork, 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.
Maura
Maura is a feminine given name commonly used in English-speaking countries, often considered a variant of Mary or Maureen.
-
D.
How to Get Away with Murder
How to Get Away with Murder is a legal thriller television series centered on a brilliant but morally ambiguous law professor and her students who become entangled in a complex murder plot.
-
E.
Without a Trace
Without a Trace is an American crime drama television series that follows an FBI missing persons unit as they investigate and locate individuals who have mysteriously disappeared.
- 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46da609881909a6d851915e8df14 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8f13f7081908317c1b2d87a51b2 |
completed | April 2, 2026, 5:35 p.m. |
Created at: March 30, 2026, 6:24 p.m.