Triple
T20126202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trixter |
E490762
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Todd Kelly
Todd Kelly is a member of the visual effects and animation company Trixter, contributing to its film and media projects.
|
E1412834
|
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: Todd Kelly | Statement: [Trixter, hasMember, Todd Kelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Todd Kelly Context triple: [Trixter, hasMember, Todd Kelly]
-
A.
Derek Kelly
Derek Kelly is best known as the husband of American actress Molly Price.
-
B.
Jon Kelley
Jon Kelley is an American television personality and sportscaster best known for hosting game and entertainment shows, including the comedy game show "Funny You Should Ask."
-
C.
Nick Kelson
Nick Kelson is the protagonist of the film "American Heart," around whom the story’s emotional and dramatic arc revolves.
-
D.
Stephen Kearney
Stephen Kearney is a former New Zealand international rugby league forward who became a prominent coach, including leading the Kiwis to major international success.
-
E.
Mitch Kessler
Mitch Kessler is a central fictional news anchor in the drama series "The Morning Show," whose fall from grace amid a sexual misconduct scandal drives much of the show's exploration of power and accountability in media.
- 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: Todd Kelly Triple: [Trixter, hasMember, Todd Kelly]
Generated description
Todd Kelly is a member of the visual effects and animation company Trixter, contributing to its film and media projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Todd Kelly Target entity description: Todd Kelly is a member of the visual effects and animation company Trixter, contributing to its film and media projects.
-
A.
Derek Kelly
Derek Kelly is best known as the husband of American actress Molly Price.
-
B.
Jon Kelley
Jon Kelley is an American television personality and sportscaster best known for hosting game and entertainment shows, including the comedy game show "Funny You Should Ask."
-
C.
Nick Kelson
Nick Kelson is the protagonist of the film "American Heart," around whom the story’s emotional and dramatic arc revolves.
-
D.
Stephen Kearney
Stephen Kearney is a former New Zealand international rugby league forward who became a prominent coach, including leading the Kiwis to major international success.
-
E.
Mitch Kessler
Mitch Kessler is a central fictional news anchor in the drama series "The Morning Show," whose fall from grace amid a sexual misconduct scandal drives much of the show's exploration of power and accountability in media.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6674223008190827c454fe7ac86f4 |
completed | April 20, 2026, 5:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a082dd9c1448190aa4038899470daf0 |
completed | May 16, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_6a082e93a1e88190bac5daae12ece9f2 |
completed | May 16, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a082f334dd481908edb6ea3ae07e0a7 |
completed | May 16, 2026, 8:47 a.m. |
Created at: April 11, 2026, 11:31 p.m.