Triple
T12140662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Richt |
E289171
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Anya Richt
Anya Richt is the daughter of former college football head coach Mark Richt.
|
E965068
|
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: Anya Richt | Statement: [Mark Richt, hasChild, Anya Richt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anya Richt Context triple: [Mark Richt, hasChild, Anya Richt]
-
A.
Anya Thorensen
Anya Thorensen is a character in the science fiction horror film "Annihilation," known as one of the expedition members who ventures into the mysterious and dangerous area called the Shimmer.
-
B.
Anya Oliwa
Anya Oliwa is a key resistance member and ally of protagonist B.J. Blazkowicz in the modern Wolfenstein video games, known for her intelligence, bravery, and crucial role in the fight against the Nazi regime.
-
C.
Anya Gallaccio
Anya Gallaccio is a British installation artist known for using organic, often perishable materials to explore themes of transformation, decay, and the passage of time.
-
D.
Anya Major
Anya Major is a British athlete and actress best known for playing the hammer-throwing heroine in Apple’s iconic 1984 Macintosh television commercial.
-
E.
Anya Derevkova
Anya Derevkova is a Marvel Comics character trained as an elite assassin through the Soviet Black Widow program.
- 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: Anya Richt Triple: [Mark Richt, hasChild, Anya Richt]
Generated description
Anya Richt is the daughter of former college football head coach Mark Richt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anya Richt Target entity description: Anya Richt is the daughter of former college football head coach Mark Richt.
-
A.
Anya Thorensen
Anya Thorensen is a character in the science fiction horror film "Annihilation," known as one of the expedition members who ventures into the mysterious and dangerous area called the Shimmer.
-
B.
Anya Oliwa
Anya Oliwa is a key resistance member and ally of protagonist B.J. Blazkowicz in the modern Wolfenstein video games, known for her intelligence, bravery, and crucial role in the fight against the Nazi regime.
-
C.
Anya Gallaccio
Anya Gallaccio is a British installation artist known for using organic, often perishable materials to explore themes of transformation, decay, and the passage of time.
-
D.
Anya Major
Anya Major is a British athlete and actress best known for playing the hammer-throwing heroine in Apple’s iconic 1984 Macintosh television commercial.
-
E.
Anya Derevkova
Anya Derevkova is a Marvel Comics character trained as an elite assassin through the Soviet Black Widow program.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915a9838081909622cc14df2a2582 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f692ee048190ab42c92296fd28fb |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f600b7385881909ddb86a1d39ff5d4 |
completed | May 2, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f601e7f3b0819098a2245b9f9316b9 |
completed | May 2, 2026, 1:53 p.m. |
Created at: April 8, 2026, 9:49 p.m.