Triple
T2919944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bang Bang |
E78694
|
entity |
| Predicate | worksWith |
P398
|
FINISHED |
| Object |
Stephen Bloom
Stephen Bloom is a professional collaborator associated with the project or work titled "Bang Bang."
|
E318691
|
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: Stephen Bloom | Statement: [Bang Bang, worksWith, Stephen Bloom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Bloom Context triple: [Bang Bang, worksWith, Stephen Bloom]
-
A.
Stephen Goldblatt
Stephen Goldblatt is a British cinematographer known for his work on major films such as Charlie Wilson's War, Batman Forever, and Lethal Weapon.
-
B.
Johnny Gandelsman
Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
-
C.
Steven Baigelman
Steven Baigelman is an American screenwriter and producer known for his work on biographical and crime dramas in film and television.
-
D.
Stephen Evans
Stephen Evans is a British film producer best known for his work on acclaimed literary and period adaptations, including the 1993 film "Much Ado About Nothing."
-
E.
William Nolan
William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
- 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: Stephen Bloom Triple: [Bang Bang, worksWith, Stephen Bloom]
Generated description
Stephen Bloom is a professional collaborator associated with the project or work titled "Bang Bang."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephen Bloom Target entity description: Stephen Bloom is a professional collaborator associated with the project or work titled "Bang Bang."
-
A.
Stephen Goldblatt
Stephen Goldblatt is a British cinematographer known for his work on major films such as Charlie Wilson's War, Batman Forever, and Lethal Weapon.
-
B.
Johnny Gandelsman
Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
-
C.
Steven Baigelman
Steven Baigelman is an American screenwriter and producer known for his work on biographical and crime dramas in film and television.
-
D.
Stephen Evans
Stephen Evans is a British film producer best known for his work on acclaimed literary and period adaptations, including the 1993 film "Much Ado About Nothing."
-
E.
William Nolan
William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
- 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_69ad8b0c2ad081909ff87050ae542bb9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad96a53f8c8190b188d549f1161e84 |
completed | March 8, 2026, 3:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e181898819087ed4acfd24c00a1 |
completed | March 11, 2026, 8:55 a.m. |
| NEDg | Description generation | batch_69b12f188c7c81908d1d575252dc4bda |
completed | March 11, 2026, 9 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1c9bccb3081909e6869b5cba68117 |
completed | March 11, 2026, 7:59 p.m. |
Created at: March 8, 2026, 2:54 p.m.