Triple
T20740663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Last Kiss (2006 film) |
E510429
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Michael
Michael is the conflicted protagonist of the 2006 romantic dramedy "The Last Kiss," whose struggle with commitment and impending fatherhood drives the film’s central emotional tension.
|
E1447801
|
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 | Statement: [The Last Kiss (2006 film), mainCharacter, Michael]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Context triple: [The Last Kiss (2006 film), mainCharacter, Michael]
-
A.
Michael
Michael is a common masculine given name of Hebrew origin meaning "Who is like God?"
-
B.
Michael
"Michael" is a 1996 fantasy-comedy film starring John Travolta as an unconventional archangel visiting Earth.
-
C.
Michael
Michael is a central fictional character in the Australian television drama series "The Newsreader," which explores the personal and professional lives of journalists in the 1980s.
-
D.
Michael
Michael is a central figure in the crime drama "Sleepers," whose traumatic experiences and quest for justice drive much of the film’s emotional and moral conflict.
-
E.
Michael
Michael is a parish on the Isle of Man, known for its rural landscapes and coastal scenery.
- 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 Triple: [The Last Kiss (2006 film), mainCharacter, Michael]
Generated description
Michael is the conflicted protagonist of the 2006 romantic dramedy "The Last Kiss," whose struggle with commitment and impending fatherhood drives the film’s central emotional tension.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Target entity description: Michael is the conflicted protagonist of the 2006 romantic dramedy "The Last Kiss," whose struggle with commitment and impending fatherhood drives the film’s central emotional tension.
-
A.
Michael
Michael is a common masculine given name of Hebrew origin meaning "Who is like God?"
-
B.
Michael
"Michael" is a 1996 fantasy-comedy film starring John Travolta as an unconventional archangel visiting Earth.
-
C.
Michael
Michael is a central fictional character in the Australian television drama series "The Newsreader," which explores the personal and professional lives of journalists in the 1980s.
-
D.
Michael
Michael is a central figure in the crime drama "Sleepers," whose traumatic experiences and quest for justice drive much of the film’s emotional and moral conflict.
-
E.
Michael
Michael is a parish on the Isle of Man, known for its rural landscapes and coastal scenery.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c20e76ac8190985203b2c17aca14 |
completed | April 21, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e83bee00819087ca4a2f57d97590 |
completed | May 16, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_6a08e8aaf8c48190a39ff61647931670 |
completed | May 16, 2026, 9:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08e91102e081909b22c8d69c6c994c |
completed | May 16, 2026, 10 p.m. |
Created at: April 16, 2026, 12:32 p.m.