Triple
T2664135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Burg |
E55591
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Saw IV
Saw IV is a 2007 American horror film in the Saw franchise, continuing the series’ elaborate trap-based storyline and psychological terror.
|
E293670
|
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: Saw IV | Statement: [Mark Burg, notableWork, Saw IV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saw IV Context triple: [Mark Burg, notableWork, Saw IV]
-
A.
Saw III
Saw III is a 2006 American horror film in the Saw franchise, known for its elaborate traps, graphic violence, and continuation of the Jigsaw killer’s storyline.
-
B.
Saw II
Saw II is a 2005 horror film in the Saw franchise, known for its elaborate death traps and psychological games orchestrated by the serial killer Jigsaw.
-
C.
Saw
Saw is a 2004 horror film that launched a popular franchise known for its psychological terror, elaborate death traps, and twist ending.
-
D.
SawTeen See
SawTeen See is a prominent structural engineer known for her work on major skyscraper projects and for her long professional and personal partnership with fellow engineer Leslie E. Robertson.
-
E.
Scream 4
Scream 4 is a 2011 American slasher film that revives the Scream franchise with a meta-horror take on reboots and modern celebrity culture.
- 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: Saw IV Triple: [Mark Burg, notableWork, Saw IV]
Generated description
Saw IV is a 2007 American horror film in the Saw franchise, continuing the series’ elaborate trap-based storyline and psychological terror.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saw IV Target entity description: Saw IV is a 2007 American horror film in the Saw franchise, continuing the series’ elaborate trap-based storyline and psychological terror.
-
A.
Saw III
Saw III is a 2006 American horror film in the Saw franchise, known for its elaborate traps, graphic violence, and continuation of the Jigsaw killer’s storyline.
-
B.
Saw II
Saw II is a 2005 horror film in the Saw franchise, known for its elaborate death traps and psychological games orchestrated by the serial killer Jigsaw.
-
C.
Saw
Saw is a 2004 horror film that launched a popular franchise known for its psychological terror, elaborate death traps, and twist ending.
-
D.
SawTeen See
SawTeen See is a prominent structural engineer known for her work on major skyscraper projects and for her long professional and personal partnership with fellow engineer Leslie E. Robertson.
-
E.
Scream 4
Scream 4 is a 2011 American slasher film that revives the Scream franchise with a meta-horror take on reboots and modern celebrity culture.
- 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd96dba44819085c3e651afba7806 |
completed | March 7, 2026, 7:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb674ed4c8190a398fccdbd30e9c2 |
completed | March 10, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69afb7c0ac9c819088939e2a20e74c24 |
completed | March 10, 2026, 6:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb84d36488190b49b05f2d5398627 |
completed | March 10, 2026, 6:21 a.m. |
Created at: March 6, 2026, 9:54 p.m.