Triple
T4761317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krampus (2015 film) |
E105703
|
entity |
| Predicate | cinematography |
P1953
|
FINISHED |
| Object |
Jules O'Loughlin
Jules O'Loughlin is an Australian cinematographer known for his work on films such as the 2015 horror-comedy "Krampus."
|
E483005
|
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: Jules O'Loughlin | Statement: [Krampus (2015 film), cinematography, Jules O'Loughlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jules O'Loughlin Context triple: [Krampus (2015 film), cinematography, Jules O'Loughlin]
-
A.
Aidan O'Herlihy
Aidan O'Herlihy is a member of the O'Herlihy family, known in part through his relation to Irish-born television and film director Michael O'Herlihy.
-
B.
Andrew Duggan
Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
-
C.
Jeremiah O’Driscoll
Jeremiah O’Driscoll is a film editor best known for his work on major feature films, including serving as the editor of "The Polar Express."
-
D.
Daniel Neeson
Daniel Neeson is the son of acclaimed Irish actor Liam Neeson and his late wife, actress Natasha Richardson.
-
E.
Christian O'Connell
Christian O'Connell is a British radio DJ, comedian, and author best known for hosting popular breakfast shows in the UK and Australia.
- 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: Jules O'Loughlin Triple: [Krampus (2015 film), cinematography, Jules O'Loughlin]
Generated description
Jules O'Loughlin is an Australian cinematographer known for his work on films such as the 2015 horror-comedy "Krampus."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jules O'Loughlin Target entity description: Jules O'Loughlin is an Australian cinematographer known for his work on films such as the 2015 horror-comedy "Krampus."
-
A.
Aidan O'Herlihy
Aidan O'Herlihy is a member of the O'Herlihy family, known in part through his relation to Irish-born television and film director Michael O'Herlihy.
-
B.
Andrew Duggan
Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
-
C.
Jeremiah O’Driscoll
Jeremiah O’Driscoll is a film editor best known for his work on major feature films, including serving as the editor of "The Polar Express."
-
D.
Daniel Neeson
Daniel Neeson is the son of acclaimed Irish actor Liam Neeson and his late wife, actress Natasha Richardson.
-
E.
Christian O'Connell
Christian O'Connell is a British radio DJ, comedian, and author best known for hosting popular breakfast shows in the UK and Australia.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd650eefe08190b99f9f01b121dbfd |
completed | March 20, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81a68c2081909048920f4469ecab |
completed | March 21, 2026, 11:31 a.m. |
| NEDg | Description generation | batch_69be83b10e048190889289ac2ca9f07f |
completed | March 21, 2026, 11:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be843e2e50819099b2b73498c7c16e |
completed | March 21, 2026, 11:42 a.m. |
Created at: March 20, 2026, 1:20 p.m.