Triple
T16008176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maggie Q |
E388270
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object |
Nikita Mears
Nikita Mears is the highly skilled rogue assassin and central protagonist of the action-thriller TV series "Nikita."
|
E1188998
|
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: Nikita Mears | Statement: [Maggie Q, playedCharacter, Nikita Mears]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nikita Mears Context triple: [Maggie Q, playedCharacter, Nikita Mears]
-
A.
Nikki Alexander
Nikki Alexander is a central forensic pathologist character in the British crime drama television series "Silent Witness."
-
B.
Makenzy Doniak
Makenzy Doniak is an American professional soccer forward known for her standout collegiate career at the University of Virginia and subsequent play in the National Women's Soccer League.
-
C.
Kayla Fenech
Kayla Fenech is the daughter of Australian former world champion boxer Jeff Fenech.
-
D.
Mikaela Banes
Mikaela Banes is a skilled, street-smart mechanic and the primary human female protagonist in the early live-action Transformers films, portrayed by Megan Fox.
-
E.
Mackenzie Rosman
Mackenzie Rosman is an American actress best known for playing Ruthie Camden on the long-running family drama series "7th Heaven."
- 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: Nikita Mears Triple: [Maggie Q, playedCharacter, Nikita Mears]
Generated description
Nikita Mears is the highly skilled rogue assassin and central protagonist of the action-thriller TV series "Nikita."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nikita Mears Target entity description: Nikita Mears is the highly skilled rogue assassin and central protagonist of the action-thriller TV series "Nikita."
-
A.
Nikki Alexander
Nikki Alexander is a central forensic pathologist character in the British crime drama television series "Silent Witness."
-
B.
Makenzy Doniak
Makenzy Doniak is an American professional soccer forward known for her standout collegiate career at the University of Virginia and subsequent play in the National Women's Soccer League.
-
C.
Kayla Fenech
Kayla Fenech is the daughter of Australian former world champion boxer Jeff Fenech.
-
D.
Mikaela Banes
Mikaela Banes is a skilled, street-smart mechanic and the primary human female protagonist in the early live-action Transformers films, portrayed by Megan Fox.
-
E.
Mackenzie Rosman
Mackenzie Rosman is an American actress best known for playing Ruthie Camden on the long-running family drama series "7th Heaven."
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15800e3608190bd3e1123ccc6c326 |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf22db3481909141ddef151d0341 |
completed | May 10, 2026, 12:19 a.m. |
| NEDg | Description generation | batch_69ffd08186d081909b6e236768dc3cde |
completed | May 10, 2026, 12:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd0f1914c81908c55df30a27fc0d1 |
completed | May 10, 2026, 12:27 a.m. |
Created at: April 10, 2026, 4:55 a.m.