Triple
T15296652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai Noon |
E365677
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Daniele Massaccesi
Daniele Massaccesi is a cinematographer known for his work on feature films, including the action-comedy "Shanghai Noon."
|
E387869
|
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: Daniele Massaccesi | Statement: [Shanghai Noon, cinematographyBy, Daniele Massaccesi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniele Massaccesi Context triple: [Shanghai Noon, cinematographyBy, Daniele Massaccesi]
-
A.
Daniele Massaccesi
Daniele Massaccesi is an Italian cinematographer best known for his work on major films such as *The Matrix Resurrections*.
-
B.
Andrea Molesini
Andrea Molesini is an Italian writer and academic best known for his award-winning novels, particularly in contemporary Italian literature.
-
C.
Daniele Amfitheatrof
Daniele Amfitheatrof was an Italian-American composer and conductor best known for his film scores during Hollywood's Golden Age.
-
D.
Daniele Conti
Daniele Conti is a retired Italian midfielder best known for his long and influential career at Cagliari Calcio, where he became a club icon and captain.
-
E.
Gabriele Detti
Gabriele Detti is an Italian competitive swimmer and Olympic medalist known for his achievements in middle- and long-distance freestyle events.
- 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: Daniele Massaccesi Triple: [Shanghai Noon, cinematographyBy, Daniele Massaccesi]
Generated description
Daniele Massaccesi is a cinematographer known for his work on feature films, including the action-comedy "Shanghai Noon."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daniele Massaccesi Target entity description: Daniele Massaccesi is a cinematographer known for his work on feature films, including the action-comedy "Shanghai Noon."
-
A.
Daniele Massaccesi
chosen
Daniele Massaccesi is an Italian cinematographer best known for his work on major films such as *The Matrix Resurrections*.
-
B.
Andrea Molesini
Andrea Molesini is an Italian writer and academic best known for his award-winning novels, particularly in contemporary Italian literature.
-
C.
Daniele Amfitheatrof
Daniele Amfitheatrof was an Italian-American composer and conductor best known for his film scores during Hollywood's Golden Age.
-
D.
Daniele Conti
Daniele Conti is a retired Italian midfielder best known for his long and influential career at Cagliari Calcio, where he became a club icon and captain.
-
E.
Gabriele Detti
Gabriele Detti is an Italian competitive swimmer and Olympic medalist known for his achievements in middle- and long-distance freestyle events.
- F. None of above.
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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e036848c1881908fbaaae0216d6d27 |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff133d171c8190918c9624bcdb7451 |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff142e99e081909d01cac0416f1bde |
completed | May 9, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff14c61eb08190ba854b541eb1ce14 |
completed | May 9, 2026, 11:04 a.m. |
Created at: April 10, 2026, 3:15 a.m.