Triple
T5752939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damsels in Distress |
E126893
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Carrie MacLemore
Carrie MacLemore is an American actress best known for her role in Whit Stillman’s comedy film "Damsels in Distress."
|
E545611
|
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: Carrie MacLemore | Statement: [Damsels in Distress, stars, Carrie MacLemore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carrie MacLemore Context triple: [Damsels in Distress, stars, Carrie MacLemore]
-
A.
Mitchell Alsup
Mitchell Alsup is a computer engineer best known as one of the founders of Transmeta, a company that developed innovative low-power microprocessor technologies.
-
B.
Lyndie Greenwood
Lyndie Greenwood is a Canadian actress best known for her role as Jenny Mills on the supernatural drama television series Sleepy Hollow.
-
C.
Lindy Layton
Lindy Layton is a British singer best known for her work in the early 1990s dance and electronic music scene, including the hit single "Dub Be Good to Me."
-
D.
Heaven Hart
Heaven Hart is the daughter of American comedian and actor Kevin Hart.
-
E.
Rachael Yamagata
Rachael Yamagata is an American singer-songwriter and pianist known for her soulful, melancholic indie pop and folk-influenced music.
- 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: Carrie MacLemore Triple: [Damsels in Distress, stars, Carrie MacLemore]
Generated description
Carrie MacLemore is an American actress best known for her role in Whit Stillman’s comedy film "Damsels in Distress."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carrie MacLemore Target entity description: Carrie MacLemore is an American actress best known for her role in Whit Stillman’s comedy film "Damsels in Distress."
-
A.
Mitchell Alsup
Mitchell Alsup is a computer engineer best known as one of the founders of Transmeta, a company that developed innovative low-power microprocessor technologies.
-
B.
Lyndie Greenwood
Lyndie Greenwood is a Canadian actress best known for her role as Jenny Mills on the supernatural drama television series Sleepy Hollow.
-
C.
Lindy Layton
Lindy Layton is a British singer best known for her work in the early 1990s dance and electronic music scene, including the hit single "Dub Be Good to Me."
-
D.
Heaven Hart
Heaven Hart is the daughter of American comedian and actor Kevin Hart.
-
E.
Rachael Yamagata
Rachael Yamagata is an American singer-songwriter and pianist known for her soulful, melancholic indie pop and folk-influenced music.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029032ba08190ae4062d74ab271ee |
completed | March 22, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e3e71988190a938a6d175023028 |
completed | March 22, 2026, 11:41 p.m. |
| NEDg | Description generation | batch_69c08cf206188190a4e5bb2649d97be9 |
completed | March 23, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c08dc6a358819093c10c4ee0b598e7 |
completed | March 23, 2026, 12:48 a.m. |
Created at: March 22, 2026, 3:48 p.m.