Triple
T8962888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Kinberg |
E214050
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The 355
The 355 is a 2022 female-led espionage action thriller film about an international team of spies who unite to stop a global threat.
|
E770060
|
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 355 | Statement: [Simon Kinberg, notableWork, The 355]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The 355 Context triple: [Simon Kinberg, notableWork, The 355]
-
A.
The 305
The 305 is a nickname commonly used to refer to Miami, Florida, derived from its original area code.
-
B.
The 33
The 33 is a 2015 drama film that recounts the true story of the 2010 Chilean mining disaster and the rescue of 33 trapped miners.
-
C.
The Unit
The Unit is an American television drama series that follows a covert U.S. Army special operations team and their families as they navigate dangerous missions and personal challenges.
-
D.
Mr. 305
Mr. 305 is the nickname of Pitbull, the Miami-born rapper and pop artist known for his party anthems and international hits.
-
E.
The Joe
The Joe is a famous indoor arena in Detroit, Michigan, best known as the longtime home of the NHL’s Detroit Red Wings.
- 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 355 Triple: [Simon Kinberg, notableWork, The 355]
Generated description
The 355 is a 2022 female-led espionage action thriller film about an international team of spies who unite to stop a global threat.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The 355 Target entity description: The 355 is a 2022 female-led espionage action thriller film about an international team of spies who unite to stop a global threat.
-
A.
The 305
The 305 is a nickname commonly used to refer to Miami, Florida, derived from its original area code.
-
B.
The 33
The 33 is a 2015 drama film that recounts the true story of the 2010 Chilean mining disaster and the rescue of 33 trapped miners.
-
C.
The Unit
The Unit is an American television drama series that follows a covert U.S. Army special operations team and their families as they navigate dangerous missions and personal challenges.
-
D.
Mr. 305
Mr. 305 is the nickname of Pitbull, the Miami-born rapper and pop artist known for his party anthems and international hits.
-
E.
The Joe
The Joe is a famous indoor arena in Detroit, Michigan, best known as the longtime home of the NHL’s Detroit Red Wings.
- 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_69ca839cd6008190a1546a701a56710c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6749e5008190a01f42a2e772dd54 |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc9512eec8190963aa68108691f7f |
completed | April 3, 2026, 2:06 p.m. |
| NEDg | Description generation | batch_69cfcb178d488190ab8ea897f964c10a |
completed | April 3, 2026, 2:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfcc1bb3248190ac94ed37be2dcde4 |
completed | April 3, 2026, 2:18 p.m. |
Created at: March 30, 2026, 7:01 p.m.