Triple
T17841303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamera: Super Monster |
E445533
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Kilara
Kilara is a spacewoman ally of Gamera who helps protect Earth from alien threats in the film "Gamera: Super Monster."
|
E1290912
|
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: Kilara | Statement: [Gamera: Super Monster, featuresCharacter, Kilara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kilara Context triple: [Gamera: Super Monster, featuresCharacter, Kilara]
-
A.
Shekini
Shekini is a popular Afrobeat/dancehall song by Nigerian music duo P-Square known for its energetic rhythm and club-friendly vibe.
-
B.
Neilia
Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
-
C.
Milina
Milina is a seaside village in the Pelion region of central Greece, known for its tranquil beaches and views across the Pagasetic Gulf.
-
D.
Keriya
Keriya is an oasis town and county in southwestern Xinjiang, China, situated along the historic Silk Road in the Tarim Basin.
-
E.
Latika
Latika is a central character in the film "Slumdog Millionaire," portrayed as the protagonist's childhood friend and love interest whose life intertwines with his journey from the Mumbai slums to game-show fame.
- 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: Kilara Triple: [Gamera: Super Monster, featuresCharacter, Kilara]
Generated description
Kilara is a spacewoman ally of Gamera who helps protect Earth from alien threats in the film "Gamera: Super Monster."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kilara Target entity description: Kilara is a spacewoman ally of Gamera who helps protect Earth from alien threats in the film "Gamera: Super Monster."
-
A.
Shekini
Shekini is a popular Afrobeat/dancehall song by Nigerian music duo P-Square known for its energetic rhythm and club-friendly vibe.
-
B.
Neilia
Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
-
C.
Milina
Milina is a seaside village in the Pelion region of central Greece, known for its tranquil beaches and views across the Pagasetic Gulf.
-
D.
Keriya
Keriya is an oasis town and county in southwestern Xinjiang, China, situated along the historic Silk Road in the Tarim Basin.
-
E.
Latika
Latika is a central character in the film "Slumdog Millionaire," portrayed as the protagonist's childhood friend and love interest whose life intertwines with his journey from the Mumbai slums to game-show fame.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d2b2ea08190926ec0cf01285833 |
completed | April 19, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0306feb6608190b90c2a3aaa6c0467 |
completed | May 12, 2026, 10:54 a.m. |
| NEDg | Description generation | batch_6a0307a17a4c81909a0b19b85a2d0adb |
completed | May 12, 2026, 10:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03080d46fc8190890000cfd0ede60e |
completed | May 12, 2026, 10:59 a.m. |
Created at: April 10, 2026, 10:16 a.m.