Triple
T18825025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girl Number 9 |
E460361
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Kate Sissons
Kate Sissons is an actress known for her role in the British online thriller series "Girl Number 9."
|
E1446404
|
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: Kate Sissons | Statement: [Girl Number 9, hasCastMember, Kate Sissons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Sissons Context triple: [Girl Number 9, hasCastMember, Kate Sissons]
-
A.
Catherine Sissons
Catherine Sissons is the daughter of the late British television newsreader and journalist Peter Sissons.
-
B.
Samantha Sloyan
Samantha Sloyan is an American actress known for her work in television and film, including prominent roles in series like "The Haunting of Hill House," "Midnight Mass," and other Mike Flanagan projects.
-
C.
Kate Wetherall
Kate Wetherall is a brave, resourceful, and acrobatic young girl who is one of the central child protagonists in Trenton Lee Stewart’s fantasy adventure series *The Books of Beginning*.
-
D.
Sarah Sutherland
Sarah Sutherland is an American actress best known for her role as Catherine Meyer on the HBO political satire series "Veep."
-
E.
Sarah Sweeney
Sarah Sweeney is an actress known for her role in the historical drama television series "The Bastard Executioner."
- 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: Kate Sissons Triple: [Girl Number 9, hasCastMember, Kate Sissons]
Generated description
Kate Sissons is an actress known for her role in the British online thriller series "Girl Number 9."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kate Sissons Target entity description: Kate Sissons is an actress known for her role in the British online thriller series "Girl Number 9."
-
A.
Catherine Sissons
Catherine Sissons is the daughter of the late British television newsreader and journalist Peter Sissons.
-
B.
Samantha Sloyan
Samantha Sloyan is an American actress known for her work in television and film, including prominent roles in series like "The Haunting of Hill House," "Midnight Mass," and other Mike Flanagan projects.
-
C.
Kate Wetherall
Kate Wetherall is a brave, resourceful, and acrobatic young girl who is one of the central child protagonists in Trenton Lee Stewart’s fantasy adventure series *The Books of Beginning*.
-
D.
Sarah Sutherland
Sarah Sutherland is an American actress best known for her role as Catherine Meyer on the HBO political satire series "Veep."
-
E.
Sarah Sweeney
Sarah Sweeney is an actress known for her role in the historical drama television series "The Bastard Executioner."
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6bdefac8190892d6fd5c20a431e |
completed | April 20, 2026, 4:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e035bf9881909ea2cceb8a9363b3 |
completed | May 16, 2026, 9:23 p.m. |
| NEDg | Description generation | batch_6a08e0937f688190a5270f3b144f5343 |
completed | May 16, 2026, 9:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08e14ff70081909fc434f4d4a62a64 |
completed | May 16, 2026, 9:27 p.m. |
Created at: April 10, 2026, 11:56 a.m.