Triple
T6239454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristin (TV series) |
E139561
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Tyler
Tyler is a fictional character appearing in the American television series "Kristin."
|
E577659
|
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: Tyler | Statement: [Kristin (TV series), character, Tyler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tyler Context triple: [Kristin (TV series), character, Tyler]
-
A.
Tyler
Tyler is a character in the 2015 horror-thriller film "The Visit," serving as one of the two grandchildren whose unsettling stay with their grandparents drives the movie’s plot.
-
B.
Tyler
Tyler is the officer in a Masonic lodge responsible for guarding the entrance and ensuring only qualified individuals are admitted to meetings.
-
C.
Tyler
Tyler is a surname most prominently associated with American actress Liv Tyler and various other notable figures in entertainment and public life.
-
D.
Neal
Neal is a masculine given name of Gaelic origin, commonly used in English-speaking countries.
-
E.
Jay
Jay is a masculine given name commonly used in English-speaking countries, often derived from the jaybird or as a short form of names like Jason or James.
- 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: Tyler Triple: [Kristin (TV series), character, Tyler]
Generated description
Tyler is a fictional character appearing in the American television series "Kristin."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tyler Target entity description: Tyler is a fictional character appearing in the American television series "Kristin."
-
A.
Tyler
Tyler is the officer in a Masonic lodge responsible for guarding the entrance and ensuring only qualified individuals are admitted to meetings.
-
B.
Tyler
Tyler is a surname most prominently associated with American actress Liv Tyler and various other notable figures in entertainment and public life.
-
C.
Tyler
Tyler is a character in the 2015 horror-thriller film "The Visit," serving as one of the two grandchildren whose unsettling stay with their grandparents drives the movie’s plot.
-
D.
Neal
Neal is a masculine given name of Gaelic origin, commonly used in English-speaking countries.
-
E.
Jay
Jay is a masculine given name commonly used in English-speaking countries, often derived from the jaybird or as a short form of names like Jason or James.
- 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_69c008b0e7ac8190808a59573ee646f3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063048df081909a13d16b6f6bf65d |
completed | March 22, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20e01845081909c54fe938600be3e |
completed | March 24, 2026, 4:07 a.m. |
| NEDg | Description generation | batch_69c215ff293c8190a79dd9246c38880d |
completed | March 24, 2026, 4:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c2167ef4748190bebcf28468a696bc |
completed | March 24, 2026, 4:43 a.m. |
Created at: March 22, 2026, 4:23 p.m.