Triple
T7330093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The True Cost |
E168976
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Andrew Morgan
Andrew Morgan is a filmmaker best known for directing the documentary "The True Cost," which examines the global impact of the fast fashion industry.
|
E664698
|
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: Andrew Morgan | Statement: [The True Cost, director, Andrew Morgan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Morgan Context triple: [The True Cost, director, Andrew Morgan]
-
A.
Mark Brazill
Mark Brazill is an American television writer and producer best known for co-creating the hit sitcom That '70s Show.
-
B.
Michael Leahy
Michael Leahy is a relatively common personal name shared by multiple individuals, including figures in politics, sports, and academia.
-
C.
Andrew Gunn
Andrew Gunn is an American film producer known for his work on family-oriented and teen-focused movies, including several popular Disney films.
-
D.
Ian Bryce
Ian Bryce is a British film producer known for his work on major Hollywood blockbusters such as Saving Private Ryan and the Transformers series.
-
E.
Ian Telfer
Ian Telfer is a Canadian mining executive and philanthropist known for his leadership in the resource industry and major donations to higher education.
- 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: Andrew Morgan Triple: [The True Cost, director, Andrew Morgan]
Generated description
Andrew Morgan is a filmmaker best known for directing the documentary "The True Cost," which examines the global impact of the fast fashion industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrew Morgan Target entity description: Andrew Morgan is a filmmaker best known for directing the documentary "The True Cost," which examines the global impact of the fast fashion industry.
-
A.
Mark Brazill
Mark Brazill is an American television writer and producer best known for co-creating the hit sitcom That '70s Show.
-
B.
Michael Leahy
Michael Leahy is a relatively common personal name shared by multiple individuals, including figures in politics, sports, and academia.
-
C.
Andrew Gunn
Andrew Gunn is an American film producer known for his work on family-oriented and teen-focused movies, including several popular Disney films.
-
D.
Ian Bryce
Ian Bryce is a British film producer known for his work on major Hollywood blockbusters such as Saving Private Ryan and the Transformers series.
-
E.
Ian Telfer
Ian Telfer is a Canadian mining executive and philanthropist known for his leadership in the resource industry and major donations to higher education.
- 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_69c68a568a6481908f11e20db7bc8446 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0ab0b1881909f8f086b81fdddb7 |
completed | March 27, 2026, 9:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827651b7c81908f5dca5903183b7b |
completed | March 28, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69c82833f394819092f24dbb35d9b25b |
completed | March 28, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c82900c41481909f886fc565c57420 |
completed | March 28, 2026, 7:16 p.m. |
Created at: March 27, 2026, 3:03 p.m.