Triple
T856881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandalay Pictures |
E18511
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Jacket
The Jacket is a 2005 psychological thriller film blending elements of mystery and time distortion, starring Adrien Brody and Keira Knightley.
|
E101103
|
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: The Jacket | Statement: [Mandalay Pictures, notableWork, The Jacket]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Jacket Context triple: [Mandalay Pictures, notableWork, The Jacket]
-
A.
The Seamstress
The Seamstress is a painting by French Post-Impressionist artist Édouard Vuillard, known for its intimate domestic interior and subtle, decorative use of color and pattern.
-
B.
The Ditch
The Ditch is a colloquial nickname for the Tasman Sea, the body of water separating Australia and New Zealand.
-
C.
The Peg
The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
-
D.
The Night
The Night is a haunting Expressionist painting by Max Beckmann that depicts the brutal terror and psychological trauma of a violent home invasion.
-
E.
The Fireman
The Fireman is an experimental music project by Paul McCartney and producer Youth, known for its ambient, electronic, and psychedelic soundscapes.
- 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: The Jacket Triple: [Mandalay Pictures, notableWork, The Jacket]
Generated description
The Jacket is a 2005 psychological thriller film blending elements of mystery and time distortion, starring Adrien Brody and Keira Knightley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Jacket Target entity description: The Jacket is a 2005 psychological thriller film blending elements of mystery and time distortion, starring Adrien Brody and Keira Knightley.
-
A.
The Seamstress
The Seamstress is a painting by French Post-Impressionist artist Édouard Vuillard, known for its intimate domestic interior and subtle, decorative use of color and pattern.
-
B.
The Ditch
The Ditch is a colloquial nickname for the Tasman Sea, the body of water separating Australia and New Zealand.
-
C.
The Peg
The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
-
D.
The Night
The Night is a haunting Expressionist painting by Max Beckmann that depicts the brutal terror and psychological trauma of a violent home invasion.
-
E.
The Fireman
The Fireman is an experimental music project by Paul McCartney and producer Youth, known for its ambient, electronic, and psychedelic soundscapes.
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac4d47508190b48d944aa2d881bf |
completed | March 1, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3bfcf308190b1ffc63ccd32cc66 |
completed | March 4, 2026, 3:15 a.m. |
| NEDg | Description generation | batch_69a7a4416144819099d6388fac05f475 |
completed | March 4, 2026, 3:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7a4b346b88190a264742a3f6ab2d1 |
completed | March 4, 2026, 3:19 a.m. |
Created at: March 1, 2026, 7:39 p.m.