Triple
T7560666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morgan |
E178785
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Morgan Spurlock
Morgan Spurlock is an American documentary filmmaker best known for directing and starring in the fast-food exposé film "Super Size Me."
|
E673663
|
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: Morgan Spurlock | Statement: [Morgan, hasNotableBearer, Morgan Spurlock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morgan Spurlock Context triple: [Morgan, hasNotableBearer, Morgan Spurlock]
-
A.
Ed Horowitz
Ed Horowitz is a screenwriter best known for co-writing the action film "Exit Wounds."
-
B.
Stephen Gaghan
Stephen Gaghan is an American screenwriter and director best known for his politically charged, multi-narrative films such as "Traffic" and "Syriana."
-
C.
Michael Moore
Michael Moore is an American documentary filmmaker and author known for his provocative, politically charged films critiquing social and economic issues in the United States.
-
D.
Michael Moore
Michael Moore was an American actor active in mid-20th-century film and television, known for supporting roles in movies such as the World War II drama "Stalag 17."
-
E.
Mark Waters
Mark Waters is an American film director best known for helming popular teen and fantasy comedies such as "Mean Girls" and "Freaky Friday."
- 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: Morgan Spurlock Triple: [Morgan, hasNotableBearer, Morgan Spurlock]
Generated description
Morgan Spurlock is an American documentary filmmaker best known for directing and starring in the fast-food exposé film "Super Size Me."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Morgan Spurlock Target entity description: Morgan Spurlock is an American documentary filmmaker best known for directing and starring in the fast-food exposé film "Super Size Me."
-
A.
Ed Horowitz
Ed Horowitz is a screenwriter best known for co-writing the action film "Exit Wounds."
-
B.
Stephen Gaghan
Stephen Gaghan is an American screenwriter and director best known for his politically charged, multi-narrative films such as "Traffic" and "Syriana."
-
C.
Michael Moore
Michael Moore is an American documentary filmmaker and author known for his provocative, politically charged films critiquing social and economic issues in the United States.
-
D.
Michael Moore
Michael Moore was an American actor active in mid-20th-century film and television, known for supporting roles in movies such as the World War II drama "Stalag 17."
-
E.
Mark Waters
Mark Waters is an American film director best known for helming popular teen and fantasy comedies such as "Mean Girls" and "Freaky Friday."
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8dd96488190b4cca25ae8f7f95c |
completed | March 27, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856cc869081909555ae03dec52288 |
completed | March 28, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69c85765d1f48190b171ff87a15c5b74 |
completed | March 28, 2026, 10:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8580963748190b81bd7437259da28 |
completed | March 28, 2026, 10:36 p.m. |
Created at: March 27, 2026, 3:50 p.m.