Triple
T13831719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inside Out |
E332413
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Mark Hayworth
Mark Hayworth is a member of the creative team or cast associated with the animated film "Inside Out."
|
E1064809
|
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: Mark Hayworth | Statement: [Inside Out, hasMember, Mark Hayworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Hayworth Context triple: [Inside Out, hasMember, Mark Hayworth]
-
A.
Brian Taggert
Brian Taggert is a screenwriter known for his work on genre films and television movies, including the 1997 horror-thriller "Trucks."
-
B.
Kyle Hollingsworth
Kyle Hollingsworth is an American keyboardist and composer best known as a longtime member of the jam band The String Cheese Incident.
-
C.
Jeffrey Hayden
Jeffrey Hayden was an American television and film director known for his extensive work in mid-20th-century TV dramas and variety shows.
-
D.
Chris Hensley
Chris Hensley is a science fiction fan and fanzine editor known for his work on the Hugo Award–winning fanzine Journey Planet.
-
E.
Tim Hankinson
Tim Hankinson was an American soccer coach known for managing multiple professional clubs in the United States and abroad, including teams in Major League Soccer and the North American Soccer League.
- 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: Mark Hayworth Triple: [Inside Out, hasMember, Mark Hayworth]
Generated description
Mark Hayworth is a member of the creative team or cast associated with the animated film "Inside Out."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Hayworth Target entity description: Mark Hayworth is a member of the creative team or cast associated with the animated film "Inside Out."
-
A.
Brian Taggert
Brian Taggert is a screenwriter known for his work on genre films and television movies, including the 1997 horror-thriller "Trucks."
-
B.
Kyle Hollingsworth
Kyle Hollingsworth is an American keyboardist and composer best known as a longtime member of the jam band The String Cheese Incident.
-
C.
Jeffrey Hayden
Jeffrey Hayden was an American television and film director known for his extensive work in mid-20th-century TV dramas and variety shows.
-
D.
Chris Hensley
Chris Hensley is a science fiction fan and fanzine editor known for his work on the Hugo Award–winning fanzine Journey Planet.
-
E.
Tim Hankinson
Tim Hankinson was an American soccer coach known for managing multiple professional clubs in the United States and abroad, including teams in Major League Soccer and the North American Soccer League.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0299334481908c2b271eaf06e4b7 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8efe0948190aaf972cccc2ebc90 |
completed | May 3, 2026, 9:06 p.m. |
| NEDg | Description generation | batch_69f7b9d928ac81908867a99740d6c3a0 |
completed | May 3, 2026, 9:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ba6b2c208190b01e3a5ae872b14f |
completed | May 3, 2026, 9:13 p.m. |
Created at: April 9, 2026, 10:13 p.m.