Triple
T2267999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Hollander |
E50191
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Hanna
"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.
|
E249924
|
NE FINISHED |
How this triple was built (4 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 | Statement: [Tom Hollander, notableWork, Hanna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanna Context triple: [Tom Hollander, notableWork, Hanna]
-
A.
Hanna
Hanna was the wife of the influential 16th-century Jewish legal scholar and codifier Rabbi Joseph Karo.
-
B.
Annette
Annette is a feminine given name of French origin, commonly used in various European and English-speaking countries.
-
C.
Mandy
Mandy is a given name, typically a diminutive of names like Amanda or Armand, used for both females and males.
-
D.
The Hunt
The Hunt is a BBC nature documentary series that explores the dramatic strategies predators and prey use to survive in the wild.
-
E.
Margo
Margo is the responsible and intelligent eldest of Gru’s three adopted daughters in the Despicable Me franchise.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hanna Triple: [Tom Hollander, notableWork, Hanna]
Generated description
"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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hanna Target entity description: "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.
-
A.
Hanna
Hanna was the wife of the influential 16th-century Jewish legal scholar and codifier Rabbi Joseph Karo.
-
B.
Annette
Annette is a feminine given name of French origin, commonly used in various European and English-speaking countries.
-
C.
Mandy
Mandy is a given name, typically a diminutive of names like Amanda or Armand, used for both females and males.
-
D.
The Hunt
The Hunt is a BBC nature documentary series that explores the dramatic strategies predators and prey use to survive in the wild.
-
E.
Margo
Margo is the responsible and intelligent eldest of Gru’s three adopted daughters in the Despicable Me franchise.
- F. None of above. chosen
Provenance (5 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1bbb49c8190822c7d809375e879 |
completed | March 7, 2026, 6:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71d70e488190a2f8276dd7a7bf9e |
completed | March 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69ae7470e3ac8190ac6e8f7cd10a4262 |
completed | March 9, 2026, 7:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae751895808190aac33870d80aab55 |
completed | March 9, 2026, 7:22 a.m. |
Created at: March 4, 2026, 7:48 p.m.