Triple
T14874170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otherhood |
E349823
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Mark Andrus |
E997615
|
NE FINISHED |
How this triple was built (2 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: [Otherhood, screenwriter, Mark Andrus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Andrus Context triple: [Otherhood, screenwriter, Mark Andrus]
-
A.
Mark Andrus
chosen
Mark Andrus is an American screenwriter best known for co-writing the acclaimed film "As Good as It Gets."
-
B.
Marc Andrus
Marc Andrus is an American film technician and former actor best known as the husband of actress Nancy McKeon.
-
C.
Trent Olsen
Trent Olsen is an American former child actor and the older brother of actresses Mary-Kate, Ashley, and Elizabeth Olsen.
-
D.
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.
-
E.
Matt Oberg
Matt Oberg is an American actor and comedian known for his work in television comedies and voice acting roles.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e3e5d48190a132f2cf012b01e2 |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bccc26c8190bf571ea7aee0e0f6 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 1:55 a.m.