Triple
T3673127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meatballs |
E77924
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Kate Lynch
Kate Lynch is a Canadian actress best known for her role in the 1979 comedy film "Meatballs."
|
E388644
|
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: Kate Lynch | Statement: [Meatballs, starring, Kate Lynch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Lynch Context triple: [Meatballs, starring, Kate Lynch]
-
A.
Kate Kavanagh
Kate Kavanagh is a fictional character best known as Anastasia Steele’s outspoken journalist roommate and friend in the "Fifty Shades of Grey" series.
-
B.
Deirdre Blake
Deirdre Blake is a fictional character appearing in the play "The Humans" by Stephen Karam.
-
C.
Emily Carmichael
Emily Carmichael is an American filmmaker and screenwriter known for her work on genre films such as Pacific Rim: Uprising and for her distinctive, imaginative storytelling style.
-
D.
Kate Williams
Kate Williams is a British historian, author, and television presenter known for her works on royal history and biography.
-
E.
Kate Garvey
Kate Garvey is a British public relations executive and former political aide, known for her work with Tony Blair and her marriage to Wikipedia co-founder Jimmy Wales.
- 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: Kate Lynch Triple: [Meatballs, starring, Kate Lynch]
Generated description
Kate Lynch is a Canadian actress best known for her role in the 1979 comedy film "Meatballs."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kate Lynch Target entity description: Kate Lynch is a Canadian actress best known for her role in the 1979 comedy film "Meatballs."
-
A.
Kate Kavanagh
Kate Kavanagh is a fictional character best known as Anastasia Steele’s outspoken journalist roommate and friend in the "Fifty Shades of Grey" series.
-
B.
Deirdre Blake
Deirdre Blake is a fictional character appearing in the play "The Humans" by Stephen Karam.
-
C.
Emily Carmichael
Emily Carmichael is an American filmmaker and screenwriter known for her work on genre films such as Pacific Rim: Uprising and for her distinctive, imaginative storytelling style.
-
D.
Kate Williams
Kate Williams is a British historian, author, and television presenter known for her works on royal history and biography.
-
E.
Kate Garvey
Kate Garvey is a British public relations executive and former political aide, known for her work with Tony Blair and her marriage to Wikipedia co-founder Jimmy Wales.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42f82548190b4d5f0fe7250decb |
completed | March 8, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f021fe148190af7ba4b36caa0ce2 |
completed | March 14, 2026, 5:20 a.m. |
| NEDg | Description generation | batch_69b4f1403de08190b31120a384f08cbb |
completed | March 14, 2026, 5:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f1fc2e248190a966cace3cc69449 |
completed | March 14, 2026, 5:28 a.m. |
Created at: March 8, 2026, 3:25 p.m.