Triple
T21380638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giorgia Whigham |
E527342
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object |
Kat in 13 Reasons Why
Kat in 13 Reasons Why is a recurring character in the teen drama series who serves as one of the students connected to the central events surrounding Hannah Baker’s story.
|
E1481088
|
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: Kat in 13 Reasons Why | Statement: [Giorgia Whigham, notableRole, Kat in 13 Reasons Why]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kat in 13 Reasons Why Context triple: [Giorgia Whigham, notableRole, Kat in 13 Reasons Why]
-
A.
Cate
Cate is a given name, often used as a short form of Catherine or Katherine.
-
B.
Katie
"Katie" is a daytime talk show hosted by journalist and television personality Katie Couric that aired in the early 2010s.
-
C.
Katie
Katie is a feminine given name, often used as a diminutive of Katherine or Kathleen.
-
D.
Katie
"Katie" is a horror novel by Michael McDowell, known for its chilling exploration of a seemingly ordinary child with terrifying supernatural powers.
-
E.
Katie
Katie is the central protagonist of the 1989 romantic fantasy-comedy film "Ghosts Can't Do It," around whom the story’s supernatural and romantic plot revolves.
- 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: Kat in 13 Reasons Why Triple: [Giorgia Whigham, notableRole, Kat in 13 Reasons Why]
Generated description
Kat in 13 Reasons Why is a recurring character in the teen drama series who serves as one of the students connected to the central events surrounding Hannah Baker’s story.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kat in 13 Reasons Why Target entity description: Kat in 13 Reasons Why is a recurring character in the teen drama series who serves as one of the students connected to the central events surrounding Hannah Baker’s story.
-
A.
Cate
Cate is a given name, often used as a short form of Catherine or Katherine.
-
B.
Katie
"Katie" is a daytime talk show hosted by journalist and television personality Katie Couric that aired in the early 2010s.
-
C.
Katie
Katie is a feminine given name, often used as a diminutive of Katherine or Kathleen.
-
D.
Katie
"Katie" is a horror novel by Michael McDowell, known for its chilling exploration of a seemingly ordinary child with terrifying supernatural powers.
-
E.
Katie
Katie is the central protagonist of the 1989 romantic fantasy-comedy film "Ghosts Can't Do It," around whom the story’s supernatural and romantic plot revolves.
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0cdab8c8190a7eebe6e5961ee75 |
completed | April 22, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09b42473b08190b0cf48ed71c09de4 |
completed | May 17, 2026, 12:27 p.m. |
| NEDg | Description generation | batch_6a09b494bc348190b72a5e862b74711a |
completed | May 17, 2026, 12:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09b60be86c8190ba4e0890da8dadb1 |
completed | May 17, 2026, 12:35 p.m. |
Created at: April 16, 2026, 5:11 p.m.