Triple
T597882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lego Movie |
E11425
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
David Burrows
David Burrows is a film editor best known for his work on major animated features, including The Lego Movie.
|
E199474
|
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: David Burrows | Statement: [The Lego Movie, editor, David Burrows]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Burrows Context triple: [The Lego Movie, editor, David Burrows]
-
A.
Mark Parsons
Mark Parsons is an English football manager best known for his successful tenure leading the Portland Thorns FC in the National Women's Soccer League.
-
B.
Tony Burton
Tony Burton was an American actor and former professional boxer best known for his recurring role as Duke, the trainer and cornerman, in the Rocky film series.
-
C.
David Bruce
David Bruce was an American diplomat and intelligence officer who played a significant role in U.S. foreign policy and covert operations during and after World War II.
-
D.
Sam Wheeler
Sam Wheeler is the father of Ted Wheeler, the mayor of Portland, Oregon.
-
E.
Andrew Dunn
Andrew Dunn is a British cinematographer known for his work on numerous high-profile films and television productions.
- 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: David Burrows Triple: [The Lego Movie, editor, David Burrows]
Generated description
David Burrows is a film editor best known for his work on major animated features, including The Lego Movie.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Burrows Target entity description: David Burrows is a film editor best known for his work on major animated features, including The Lego Movie.
-
A.
Mark Parsons
Mark Parsons is an English football manager best known for his successful tenure leading the Portland Thorns FC in the National Women's Soccer League.
-
B.
Tony Burton
Tony Burton was an American actor and former professional boxer best known for his recurring role as Duke, the trainer and cornerman, in the Rocky film series.
-
C.
David Bruce
David Bruce was an American diplomat and intelligence officer who played a significant role in U.S. foreign policy and covert operations during and after World War II.
-
D.
Sam Wheeler
Sam Wheeler is the father of Ted Wheeler, the mayor of Portland, Oregon.
-
E.
Andrew Dunn
Andrew Dunn is a British cinematographer known for his work on numerous high-profile films and television productions.
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49d776c6c819081b41a9b55041cd5 |
completed | March 1, 2026, 8:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada94e727881909bee9e71a404c95a |
completed | March 8, 2026, 4:52 p.m. |
| NEDg | Description generation | batch_69adae972d1081909cd13e8220c3ccc6 |
completed | March 8, 2026, 5:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adaf9d042481909dbd54d9e04e444e |
completed | March 8, 2026, 5:19 p.m. |
Created at: March 1, 2026, 7:35 p.m.