Triple
T13273908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Story (1944 film) |
E316136
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Kitty
Kitty is a fictional character appearing in the 1944 romantic drama film "Love Story."
|
E1030221
|
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: Kitty | Statement: [Love Story (1944 film), featuresCharacter, Kitty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kitty Context triple: [Love Story (1944 film), featuresCharacter, Kitty]
-
A.
Kitty
Kitty is a common diminutive or nickname for the given name Catherine.
-
B.
Kitty
"Kitty" is a 1945 historical comedy-drama film set in 18th-century London, best known for starring Paulette Goddard as a pickpocket who rises in society.
-
C.
Katerina Kittycat
Katerina Kittycat is a playful, imaginative kitten and one of Daniel Tiger’s close friends in the children’s animated series "Daniel Tiger’s Neighborhood."
-
D.
Tabby
Tabby is a supporting character in the 2020 supernatural horror film "The Craft: Legacy," which follows a new coven of teenage witches.
-
E.
Victoria the White Cat
Victoria the White Cat is the young, wide-eyed feline protagonist in the 2019 film adaptation of the musical "Cats," through whose perspective the new song "Beautiful Ghosts" is experienced.
- 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: Kitty Triple: [Love Story (1944 film), featuresCharacter, Kitty]
Generated description
Kitty is a fictional character appearing in the 1944 romantic drama film "Love Story."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kitty Target entity description: Kitty is a fictional character appearing in the 1944 romantic drama film "Love Story."
-
A.
Kitty
Kitty is a common diminutive or nickname for the given name Catherine.
-
B.
Kitty
"Kitty" is a 1945 historical comedy-drama film set in 18th-century London, best known for starring Paulette Goddard as a pickpocket who rises in society.
-
C.
Katerina Kittycat
Katerina Kittycat is a playful, imaginative kitten and one of Daniel Tiger’s close friends in the children’s animated series "Daniel Tiger’s Neighborhood."
-
D.
Tabby
Tabby is a supporting character in the 2020 supernatural horror film "The Craft: Legacy," which follows a new coven of teenage witches.
-
E.
Victoria the White Cat
Victoria the White Cat is the young, wide-eyed feline protagonist in the 2019 film adaptation of the musical "Cats," through whose perspective the new song "Beautiful Ghosts" is experienced.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9904193bc8190af4155750bcf32f6 |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a51d458819080b8c8f3a4df0f52 |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f70b117c588190bb81ff53664cac4a |
completed | May 3, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70c04da34819091e01db25741674e |
completed | May 3, 2026, 8:49 a.m. |
Created at: April 9, 2026, 9:26 p.m.