Triple
T20870302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odds and Evens |
E513870
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Kim McKay
Kim McKay is an actress known for her role in the Australian film "Odds and Evens."
|
E1454872
|
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: Kim McKay | Statement: [Odds and Evens, hasCastMember, Kim McKay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim McKay Context triple: [Odds and Evens, hasCastMember, Kim McKay]
-
A.
Kim Aldrich
Kim Aldrich is a central astronaut character in the science fiction horror film "The Last Days on Mars," involved in a doomed mission on the Red Planet.
-
B.
Jacquelyn Grant
Jacquelyn Grant is a pioneering womanist theologian whose work centers Black women's religious experience and significantly shaped Black liberation theology.
-
C.
Marie McKay
Marie McKay was the wife of Austrian-American actor Joseph Schildkraut, a prominent performer of stage and early Hollywood cinema.
-
D.
Jennifer Flackett
Jennifer Flackett is an American screenwriter and director known for co-creating the animated series "Big Mouth" and co-writing family and adventure films.
-
E.
Christian McKay
Christian McKay is a British actor best known for his acclaimed portrayal of Orson Welles in the film "Me and Orson Welles."
- 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: Kim McKay Triple: [Odds and Evens, hasCastMember, Kim McKay]
Generated description
Kim McKay is an actress known for her role in the Australian film "Odds and Evens."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kim McKay Target entity description: Kim McKay is an actress known for her role in the Australian film "Odds and Evens."
-
A.
Kim Aldrich
Kim Aldrich is a central astronaut character in the science fiction horror film "The Last Days on Mars," involved in a doomed mission on the Red Planet.
-
B.
Jacquelyn Grant
Jacquelyn Grant is a pioneering womanist theologian whose work centers Black women's religious experience and significantly shaped Black liberation theology.
-
C.
Marie McKay
Marie McKay was the wife of Austrian-American actor Joseph Schildkraut, a prominent performer of stage and early Hollywood cinema.
-
D.
Jennifer Flackett
Jennifer Flackett is an American screenwriter and director known for co-creating the animated series "Big Mouth" and co-writing family and adventure films.
-
E.
Christian McKay
Christian McKay is a British actor best known for his acclaimed portrayal of Orson Welles in the film "Me and Orson Welles."
- 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c4637ec48190830023d20fb8124c |
completed | April 21, 2026, 12:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09139a9ef081909585c53823e12ca4 |
completed | May 17, 2026, 1:02 a.m. |
| NEDg | Description generation | batch_6a09144734b0819090901b8e6590222f |
completed | May 17, 2026, 1:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0914a0fb4c8190be5d504ff65dfe32 |
completed | May 17, 2026, 1:06 a.m. |
Created at: April 16, 2026, 12:45 p.m.