Triple
T21536762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Decoding Annie Parker |
E531368
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Michael Moss
Michael Moss is a screenwriter best known for his work on the biographical drama film "Decoding Annie Parker."
|
E1489361
|
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 Moss | Statement: [Decoding Annie Parker, screenwriter, Michael Moss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Moss Context triple: [Decoding Annie Parker, screenwriter, Michael Moss]
-
A.
Alan Webb
Alan Webb was a British character actor known for his distinguished stage and film career in mid-20th-century England.
-
B.
Michael Gunton
Michael Gunton is a British television producer best known for his work on major BBC natural history series such as Planet Earth II and Dynasties.
-
C.
Michael Symon
Michael Symon is an American chef, restaurateur, and television personality best known for his bold, meat-centric cooking and frequent appearances on Food Network.
-
D.
Jeffrey Hatcher
Jeffrey Hatcher is an American playwright and screenwriter known for his work in theater and film, including adaptations and period dramas.
-
E.
Richard Blais
Richard Blais is an American chef, restaurateur, and television personality known for his inventive, modernist cooking and frequent appearances on culinary competition shows.
- 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 Moss Triple: [Decoding Annie Parker, screenwriter, Michael Moss]
Generated description
Michael Moss is a screenwriter best known for his work on the biographical drama film "Decoding Annie Parker."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Moss Target entity description: Michael Moss is a screenwriter best known for his work on the biographical drama film "Decoding Annie Parker."
-
A.
Alan Webb
Alan Webb was a British character actor known for his distinguished stage and film career in mid-20th-century England.
-
B.
Michael Gunton
Michael Gunton is a British television producer best known for his work on major BBC natural history series such as Planet Earth II and Dynasties.
-
C.
Michael Symon
Michael Symon is an American chef, restaurateur, and television personality best known for his bold, meat-centric cooking and frequent appearances on Food Network.
-
D.
Jeffrey Hatcher
Jeffrey Hatcher is an American playwright and screenwriter known for his work in theater and film, including adaptations and period dramas.
-
E.
Richard Blais
Richard Blais is an American chef, restaurateur, and television personality known for his inventive, modernist cooking and frequent appearances on culinary competition shows.
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0e5a9c8190894ec3666d3296aa |
completed | April 26, 2026, 11:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e835fd08819098fde7600d5c91d6 |
completed | May 17, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_6a09e909a4888190aa1d704eb157d86d |
completed | May 17, 2026, 4:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09ea119664819081b072c892fc0471 |
completed | May 17, 2026, 4:17 p.m. |
Created at: April 16, 2026, 6:27 p.m.