Triple
T9078460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose Lorkowski |
E217548
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Megan Holley |
E182088
|
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: Megan Holley | Statement: [Rose Lorkowski, createdBy, Megan Holley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megan Holley Context triple: [Rose Lorkowski, createdBy, Megan Holley]
-
A.
Megan Holley
chosen
Megan Holley is an American screenwriter best known for writing the indie dramedy film "Sunshine Cleaning."
-
B.
Megan Gill
Megan Gill is a film editor best known for her work on major feature films, including the superhero movie "X-Men Origins: Wolverine."
-
C.
Megan Morgan
Megan Morgan is a character from the 1988 sci-fi horror comedy film "Critters 2: The Main Course."
-
D.
Megan Howell
Megan Howell is a person notable enough to be specifically referenced by name, though no widely recognized public information about her is provided in this context.
-
E.
Holly Sargis
Holly Sargis is the naive teenage narrator and central female protagonist of Terrence Malick’s film "Badlands," whose perspective frames the story’s violent, romantic crime spree.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc95c7d3688190a4c1c6a92965eae4 |
completed | April 1, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0774f0d7c8190b071e5b161622355 |
completed | April 4, 2026, 2:28 a.m. |
Created at: March 30, 2026, 7:12 p.m.