Triple
T22608026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Takes Wing |
E566616
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Hank
Hank is a supporting character in the Christian drama film "Love Takes Wing," part of the Love Comes Softly series based on Janette Oke’s novels.
|
E1545940
|
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: Hank | Statement: [Love Takes Wing, character, Hank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hank Context triple: [Love Takes Wing, character, Hank]
-
A.
Hank
Hank is the nickname of American country music songwriter Hank Cochran, known for penning numerous classic hits in the genre.
-
B.
Hank
Hank is the central character in the 1996 drama film "Marvin's Room," around whom the story’s family conflicts and emotional developments revolve.
-
C.
Hank
Hank is the nickname of Hank Stram, a Hall of Fame American football coach best known for leading the Kansas City Chiefs to multiple AFL titles and a Super Bowl victory.
-
D.
Hank
Hank is a male given name commonly used in English-speaking countries, often associated with American culture and notable figures in sports and entertainment.
-
E.
Hank
Hank is a fictional character known as a friend and companion of Digby Geste in the adventure narrative surrounding the Geste brothers.
- 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: Hank Triple: [Love Takes Wing, character, Hank]
Generated description
Hank is a supporting character in the Christian drama film "Love Takes Wing," part of the Love Comes Softly series based on Janette Oke’s novels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hank Target entity description: Hank is a supporting character in the Christian drama film "Love Takes Wing," part of the Love Comes Softly series based on Janette Oke’s novels.
-
A.
Hank
Hank is the central character in the 1996 drama film "Marvin's Room," around whom the story’s family conflicts and emotional developments revolve.
-
B.
Hank
Hank is a fictional character known as a friend and companion of Digby Geste in the adventure narrative surrounding the Geste brothers.
-
C.
Hank
Hank is the canine protagonist of the animated martial-arts comedy film "Paws of Fury: The Legend of Hank."
-
D.
Hank
Hank is a male given name commonly used in English-speaking countries, often associated with American culture and notable figures in sports and entertainment.
-
E.
Hank
Hank is the nickname of American country music songwriter Hank Cochran, known for penning numerous classic hits in the genre.
- 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f167e75658819089153eab7563540c |
completed | April 29, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b4df957fc8190a4bb951dde3765a4 |
completed | May 18, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_6a0b50387eb08190ac727f02113aabfe |
completed | May 18, 2026, 5:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b5081eff08190b4d626bf7469e50c |
completed | May 18, 2026, 5:46 p.m. |
Created at: April 17, 2026, 2:55 p.m.