Triple
T16012012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yvonne Strahovski |
E388359
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object |
Kate Morgan
Kate Morgan is a skilled CIA operative and central character in the television miniseries "24: Live Another Day."
|
E1093621
|
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 Morgan | Statement: [Yvonne Strahovski, playedCharacter, Kate Morgan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Morgan Context triple: [Yvonne Strahovski, playedCharacter, Kate Morgan]
-
A.
Kate Morgan
Kate Morgan is a highly skilled and resourceful CIA operative who partners with Jack Bauer in the television miniseries "24: Live Another Day."
-
B.
Katie Morgan
Katie Morgan is a struggling single mother in the British social-realist film "I, Daniel Blake," whose experiences highlight the failures of the welfare system.
-
C.
Megan Morgan
Megan Morgan is a character from the 1988 sci-fi horror comedy film "Critters 2: The Main Course."
-
D.
Mia Morgan
Mia Morgan is a central character in the romantic comedy-drama film "The Best Man," around whom much of the story’s interpersonal conflict and emotional tension revolves.
-
E.
Georgia Morgan
Georgia Morgan is the founder of The International Cat Association, a major global registry and governing body for pedigreed and household pet cats.
- 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 Morgan Triple: [Yvonne Strahovski, playedCharacter, Kate Morgan]
Generated description
Kate Morgan is a skilled CIA operative and central character in the television miniseries "24: Live Another Day."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kate Morgan Target entity description: Kate Morgan is a skilled CIA operative and central character in the television miniseries "24: Live Another Day."
-
A.
Kate Morgan
chosen
Kate Morgan is a highly skilled and resourceful CIA operative who partners with Jack Bauer in the television miniseries "24: Live Another Day."
-
B.
Katie Morgan
Katie Morgan is a struggling single mother in the British social-realist film "I, Daniel Blake," whose experiences highlight the failures of the welfare system.
-
C.
Megan Morgan
Megan Morgan is a character from the 1988 sci-fi horror comedy film "Critters 2: The Main Course."
-
D.
Mia Morgan
Mia Morgan is a central character in the romantic comedy-drama film "The Best Man," around whom much of the story’s interpersonal conflict and emotional tension revolves.
-
E.
Georgia Morgan
Georgia Morgan is the founder of The International Cat Association, a major global registry and governing body for pedigreed and household pet cats.
- F. None of above.
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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18291e2b481909d13cb6057c76cee |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01673979608190905afae3071413c0 |
completed | May 11, 2026, 5:20 a.m. |
| NEDg | Description generation | batch_6a016b8609dc8190bfd3e1b6ff715d65 |
completed | May 11, 2026, 5:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016c5018e48190974c124c3433bcc6 |
completed | May 11, 2026, 5:42 a.m. |
Created at: April 10, 2026, 4:55 a.m.