Triple
T3653490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Craft: Legacy |
E77474
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Tabby
Tabby is a supporting character in the 2020 supernatural horror film "The Craft: Legacy," which follows a new coven of teenage witches.
|
E375738
|
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: Tabby | Statement: [The Craft: Legacy, featuresCharacter, Tabby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tabby Context triple: [The Craft: Legacy, featuresCharacter, Tabby]
-
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.
Calico
Calico is a research and development company founded by Google that focuses on understanding aging and developing technologies to extend human lifespan.
-
D.
Mr. Mistoffelees
Mr. Mistoffelees is a magical black-and-white cat character from T. S. Eliot’s poetry, best known today through his prominent role in the musical "Cats."
-
E.
Felis
Felis is a genus of small to medium-sized cats that includes the domestic cat and several closely related wild species.
- 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: Tabby Triple: [The Craft: Legacy, featuresCharacter, Tabby]
Generated description
Tabby is a supporting character in the 2020 supernatural horror film "The Craft: Legacy," which follows a new coven of teenage witches.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tabby Target entity description: Tabby is a supporting character in the 2020 supernatural horror film "The Craft: Legacy," which follows a new coven of teenage witches.
-
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.
Calico
Calico is a research and development company founded by Google that focuses on understanding aging and developing technologies to extend human lifespan.
-
D.
Mr. Mistoffelees
Mr. Mistoffelees is a magical black-and-white cat character from T. S. Eliot’s poetry, best known today through his prominent role in the musical "Cats."
-
E.
Felis
Felis is a genus of small to medium-sized cats that includes the domestic cat and several closely related wild species.
- 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3b805a48190a7bc230a382365d6 |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f4541dc8190b794eae019dcffbf |
completed | March 13, 2026, 5:54 p.m. |
| NEDg | Description generation | batch_69b45258be648190a98f60bd0cf57faa |
completed | March 13, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b45eec592481908e2f002aa2127849 |
completed | March 13, 2026, 7:01 p.m. |
Created at: March 8, 2026, 3:24 p.m.