Triple
T13774182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mulan II |
E330956
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Michael Lucker
Michael Lucker is an American screenwriter known for his work on animated and family films, including contributions to Disney projects.
|
E1136562
|
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: Michael Lucker | Statement: [Mulan II, writer, Michael Lucker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Lucker Context triple: [Mulan II, writer, Michael Lucker]
-
A.
Michael Leibert
Michael Leibert was an American theater director and producer best known for establishing the influential Berkeley Repertory Theatre in California.
-
B.
Ken Lemberger
Ken Lemberger is a film producer known for his work on the 2006 adaptation of "All the King's Men."
-
C.
Michael Rupp
Michael Rupp is a former American professional ice hockey forward who played in the NHL and scored the Stanley Cup–winning goal for the New Jersey Devils in 2003.
-
D.
Michael Leiters
Michael Leiters is an automotive executive known for senior leadership roles at high-performance sports car manufacturers, including serving as CEO of McLaren Automotive.
-
E.
Michael Holzer
Michael Holzer is an architect best known as one of the founders of the avant-garde Austrian architecture firm Coop Himmelb(l)au.
- 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: Michael Lucker Triple: [Mulan II, writer, Michael Lucker]
Generated description
Michael Lucker is an American screenwriter known for his work on animated and family films, including contributions to Disney projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Lucker Target entity description: Michael Lucker is an American screenwriter known for his work on animated and family films, including contributions to Disney projects.
-
A.
Michael Leibert
Michael Leibert was an American theater director and producer best known for establishing the influential Berkeley Repertory Theatre in California.
-
B.
Ken Lemberger
Ken Lemberger is a film producer known for his work on the 2006 adaptation of "All the King's Men."
-
C.
Michael Rupp
Michael Rupp is a former American professional ice hockey forward who played in the NHL and scored the Stanley Cup–winning goal for the New Jersey Devils in 2003.
-
D.
Michael Leiters
Michael Leiters is an automotive executive known for senior leadership roles at high-performance sports car manufacturers, including serving as CEO of McLaren Automotive.
-
E.
Michael Holzer
Michael Holzer is an architect best known as one of the founders of the avant-garde Austrian architecture firm Coop Himmelb(l)au.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de023774b48190b19e43e87b94ba77 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feadf7fee48190bf58a1b4a603217e |
completed | May 9, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_69feaeae7d3c8190b0d3f8447b597f6d |
completed | May 9, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feaf3d6fb88190a9e7db01be53db2a |
completed | May 9, 2026, 3:51 a.m. |
Created at: April 9, 2026, 10:10 p.m.