Triple
T8449417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hit |
E199763
|
entity |
| Predicate | cinematography |
P1953
|
FINISHED |
| Object |
Mike Molloy
Mike Molloy is a cinematographer best known for his work on the British crime film "The Hit."
|
E786338
|
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: Mike Molloy | Statement: [The Hit, cinematography, Mike Molloy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Molloy Context triple: [The Hit, cinematography, Mike Molloy]
-
A.
Michael Maloney
Michael Maloney is a British actor known for his work in film, television, and theatre, including prominent roles in Shakespearean adaptations.
-
B.
Mike O’Shea
Mike O’Shea is a Canadian football coach and former linebacker best known for leading the Winnipeg Blue Bombers to multiple Grey Cup championships in the CFL.
-
C.
Greg Mollica
Greg Mollica is an illustrator and designer known for creating book cover art, including the cover of Ta-Nehisi Coates’s novel "The Water Dancer."
-
D.
Christopher Murney
Christopher Murney is an American character actor and voice actor known for his work in film, television, and animation, including a prominent role on the series "Remember WENN."
-
E.
Michael O’Rourke
Michael O’Rourke is an Irish media entrepreneur best known as a co-founder of the international sports television network Setanta Sports.
- 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: Mike Molloy Triple: [The Hit, cinematography, Mike Molloy]
Generated description
Mike Molloy is a cinematographer best known for his work on the British crime film "The Hit."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Molloy Target entity description: Mike Molloy is a cinematographer best known for his work on the British crime film "The Hit."
-
A.
Michael Maloney
Michael Maloney is a British actor known for his work in film, television, and theatre, including prominent roles in Shakespearean adaptations.
-
B.
Mike O’Shea
Mike O’Shea is a Canadian football coach and former linebacker best known for leading the Winnipeg Blue Bombers to multiple Grey Cup championships in the CFL.
-
C.
Greg Mollica
Greg Mollica is an illustrator and designer known for creating book cover art, including the cover of Ta-Nehisi Coates’s novel "The Water Dancer."
-
D.
Christopher Murney
Christopher Murney is an American character actor and voice actor known for his work in film, television, and animation, including a prominent role on the series "Remember WENN."
-
E.
Michael O’Rourke
Michael O’Rourke is an Irish media entrepreneur best known as a co-founder of the international sports television network Setanta Sports.
- 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe44707b88190b3d8b30c45ef4496 |
completed | March 31, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d07719ee048190ac4045017d89e938 |
completed | April 4, 2026, 2:27 a.m. |
| NEDg | Description generation | batch_69d0795dd0d08190aeaf04de63671823 |
completed | April 4, 2026, 2:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d079a8b0c48190b4b658942b5b149b |
completed | April 4, 2026, 2:38 a.m. |
Created at: March 30, 2026, 6:09 p.m.