Triple
T12698927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life as a House |
E303405
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Mark Andrus
Mark Andrus is an American screenwriter best known for co-writing the acclaimed film "As Good as It Gets."
|
E997615
|
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 Andrus | Statement: [Life as a House, screenwriter, Mark Andrus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Andrus Context triple: [Life as a House, screenwriter, Mark Andrus]
-
A.
Trent Olsen
Trent Olsen is an American former child actor and the older brother of actresses Mary-Kate, Ashley, and Elizabeth Olsen.
-
B.
Darren Lemke
Darren Lemke is an American screenwriter and film producer known for working on fantasy and adventure films such as Jack the Giant Slayer and the Goosebumps movie adaptation.
-
C.
Matt Oberg
Matt Oberg is an American actor and comedian known for his work in television comedies and voice acting roles.
-
D.
D.J. Grothe
D.J. Grothe is an American skeptic, speaker, and former president of the James Randi Educational Foundation known for promoting critical thinking and secular humanism.
-
E.
Trent Burns
Trent Burns is the reclusive, working-class lawn caretaker who forms an unlikely and transformative friendship with a wealthy young girl in the film "Lawn Dogs."
- 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 Andrus Triple: [Life as a House, screenwriter, Mark Andrus]
Generated description
Mark Andrus is an American screenwriter best known for co-writing the acclaimed film "As Good as It Gets."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Andrus Target entity description: Mark Andrus is an American screenwriter best known for co-writing the acclaimed film "As Good as It Gets."
-
A.
Trent Olsen
Trent Olsen is an American former child actor and the older brother of actresses Mary-Kate, Ashley, and Elizabeth Olsen.
-
B.
Darren Lemke
Darren Lemke is an American screenwriter and film producer known for working on fantasy and adventure films such as Jack the Giant Slayer and the Goosebumps movie adaptation.
-
C.
Matt Oberg
Matt Oberg is an American actor and comedian known for his work in television comedies and voice acting roles.
-
D.
D.J. Grothe
D.J. Grothe is an American skeptic, speaker, and former president of the James Randi Educational Foundation known for promoting critical thinking and secular humanism.
-
E.
Trent Burns
Trent Burns is the reclusive, working-class lawn caretaker who forms an unlikely and transformative friendship with a wealthy young girl in the film "Lawn Dogs."
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ed26588190ae76ff17159e06ec |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671b066348190aedfe186fc4724f9 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f672d16f8881908c6d5cfed0b3ec3a |
completed | May 2, 2026, 9:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67396fdac8190970068b2c39ad2f7 |
completed | May 2, 2026, 9:58 p.m. |
Created at: April 9, 2026, 5:22 p.m.