Triple
T20662064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Institute |
E507781
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Kalisha Benson
Kalisha Benson is a character in Stephen King’s horror novel "The Institute," one of the gifted children imprisoned and exploited by the sinister facility.
|
E1443675
|
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: Kalisha Benson | Statement: [The Institute, hasCharacter, Kalisha Benson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalisha Benson Context triple: [The Institute, hasCharacter, Kalisha Benson]
-
A.
Kimberly Woodard
Kimberly Woodard is a television producer best known for her executive production work on the live law-enforcement reality series "Live PD."
-
B.
Teisha Brown
Teisha Brown is a singer best known as a member of the American R&B group Brownstone.
-
C.
Cherelle L. Parker
Cherelle L. Parker is an American politician who serves as the mayor of Philadelphia and is the first woman elected to the position in the city's history.
-
D.
Charlene McGee
Charlene McGee is the young girl with powerful and dangerous pyrokinetic abilities at the center of Stephen King’s novel "Firestarter."
-
E.
Pam Veasey
Pam Veasey is an American television writer and producer best known for her work on crime and procedural dramas, including multiple series in the CSI 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: Kalisha Benson Triple: [The Institute, hasCharacter, Kalisha Benson]
Generated description
Kalisha Benson is a character in Stephen King’s horror novel "The Institute," one of the gifted children imprisoned and exploited by the sinister facility.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kalisha Benson Target entity description: Kalisha Benson is a character in Stephen King’s horror novel "The Institute," one of the gifted children imprisoned and exploited by the sinister facility.
-
A.
Kimberly Woodard
Kimberly Woodard is a television producer best known for her executive production work on the live law-enforcement reality series "Live PD."
-
B.
Teisha Brown
Teisha Brown is a singer best known as a member of the American R&B group Brownstone.
-
C.
Cherelle L. Parker
Cherelle L. Parker is an American politician who serves as the mayor of Philadelphia and is the first woman elected to the position in the city's history.
-
D.
Charlene McGee
Charlene McGee is the young girl with powerful and dangerous pyrokinetic abilities at the center of Stephen King’s novel "Firestarter."
-
E.
Pam Veasey
Pam Veasey is an American television writer and producer best known for her work on crime and procedural dramas, including multiple series in the CSI 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2f2ee4081908df9ba897c9dfc98 |
completed | April 20, 2026, 11:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd5afe5081909e20b796dd9f0908 |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d175206c8190b119bb1a2d06462f |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d28e02fc8190ab694673156ab0c0 |
completed | May 16, 2026, 8:24 p.m. |
Created at: April 16, 2026, 11:44 a.m.