Triple
T5453816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Taking of Pelham One Two Three |
E122429
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Mr. Blue
Mr. Blue is the cold, calculating leader of the hijackers who seize a New York City subway train in the thriller "The Taking of Pelham One Two Three."
|
E520778
|
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: Mr. Blue | Statement: [The Taking of Pelham One Two Three, mainCharacter, Mr. Blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Blue Context triple: [The Taking of Pelham One Two Three, mainCharacter, Mr. Blue]
-
A.
Mr. Blue Sky
"Mr. Blue Sky" is a 1977 upbeat, orchestral rock song by Electric Light Orchestra, widely recognized as one of the band’s signature and most enduring hits.
-
B.
Mr. Man
"Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
-
C.
Am I Blue
"Am I Blue" is a classic pop and jazz standard that has been widely covered by vocalists, including Bette Midler on her album *The Divine Miss M*."
-
D.
Old Blue
"Old Blue" is a traditional folk song popularized by American singer Joan Baez on her album "Joan Baez, Vol. 2."
-
E.
Mr. C
Mr. C is the costumed mascot character representing the Commodores athletic teams.
- 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: Mr. Blue Triple: [The Taking of Pelham One Two Three, mainCharacter, Mr. Blue]
Generated description
Mr. Blue is the cold, calculating leader of the hijackers who seize a New York City subway train in the thriller "The Taking of Pelham One Two Three."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr. Blue Target entity description: Mr. Blue is the cold, calculating leader of the hijackers who seize a New York City subway train in the thriller "The Taking of Pelham One Two Three."
-
A.
Mr. Blue Sky
"Mr. Blue Sky" is a 1977 upbeat, orchestral rock song by Electric Light Orchestra, widely recognized as one of the band’s signature and most enduring hits.
-
B.
Mr. Man
"Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
-
C.
Am I Blue
"Am I Blue" is a classic pop and jazz standard that has been widely covered by vocalists, including Bette Midler on her album *The Divine Miss M*."
-
D.
Old Blue
"Old Blue" is a traditional folk song popularized by American singer Joan Baez on her album "Joan Baez, Vol. 2."
-
E.
Mr. C
Mr. C is the costumed mascot character representing the Commodores athletic teams.
- 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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91e170f48190b47419b5e2ff71a4 |
completed | March 20, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4140248081908c7f42b91579a837 |
completed | March 22, 2026, 1:09 a.m. |
| NEDg | Description generation | batch_69bf41dd96448190973b7241df5dbb24 |
completed | March 22, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf42b97d40819087a98c1cc58bb964 |
completed | March 22, 2026, 1:15 a.m. |
Created at: March 20, 2026, 2:08 p.m.