Triple
T17069563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Loved Ones |
E414177
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Mark Lazarus
Mark Lazarus is a film producer known for his work on the Australian horror film "The Loved Ones."
|
E1247385
|
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: Mark Lazarus | Statement: [The Loved Ones, producer, Mark Lazarus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Lazarus Context triple: [The Loved Ones, producer, Mark Lazarus]
-
A.
Tom Lazarus
Tom Lazarus is an American screenwriter and television writer best known for his work on the supernatural horror film "Stigmata" and various genre TV series.
-
B.
Jonathan Lucas
Jonathan Lucas is a film editor known for his work on the feature film "Troop Zero."
-
C.
Alex Lasker
Alex Lasker is a screenwriter best known for co-writing the military action film "Tears of the Sun."
-
D.
Jeremy Lasky
Jeremy Lasky is an American cinematographer best known for his work at Pixar Animation Studios on films such as Cars and other major animated features.
-
E.
Leo Barnes
Leo Barnes is a former police sergeant turned security chief who becomes a key resistance figure fighting to end the annual Purge in the dystopian horror-thriller film series.
- 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: Mark Lazarus Triple: [The Loved Ones, producer, Mark Lazarus]
Generated description
Mark Lazarus is a film producer known for his work on the Australian horror film "The Loved Ones."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Lazarus Target entity description: Mark Lazarus is a film producer known for his work on the Australian horror film "The Loved Ones."
-
A.
Tom Lazarus
Tom Lazarus is an American screenwriter and television writer best known for his work on the supernatural horror film "Stigmata" and various genre TV series.
-
B.
Jonathan Lucas
Jonathan Lucas is a film editor known for his work on the feature film "Troop Zero."
-
C.
Alex Lasker
Alex Lasker is a screenwriter best known for co-writing the military action film "Tears of the Sun."
-
D.
Jeremy Lasky
Jeremy Lasky is an American cinematographer best known for his work at Pixar Animation Studios on films such as Cars and other major animated features.
-
E.
Leo Barnes
Leo Barnes is a former police sergeant turned security chief who becomes a key resistance figure fighting to end the annual Purge in the dystopian horror-thriller film series.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbbfb1f08190807301ff6e573cf5 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01235278d48190bacc7881b9eb1ea1 |
completed | May 11, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_6a012425fb808190ad9bcada9429e437 |
completed | May 11, 2026, 12:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01248b53d88190a4ec4fa6cee89bb1 |
completed | May 11, 2026, 12:36 a.m. |
Created at: April 10, 2026, 5:34 a.m.