Triple
T11542834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tracer |
E273714
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object |
Cara Theobold
Cara Theobold is a British actress best known for her roles in "Downton Abbey" and for voicing the character Tracer in the video game "Overwatch."
|
E978270
|
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: Cara Theobold | Statement: [Tracer, voiceActor, Cara Theobold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cara Theobold Context triple: [Tracer, voiceActor, Cara Theobold]
-
A.
Cara Staggs
Cara Staggs is a graphic designer best known for creating the current state flag of Mississippi.
-
B.
Kara Hayward
Kara Hayward is an American actress best known for her breakout role as Suzy Bishop in Wes Anderson’s film "Moonrise Kingdom."
-
C.
Caitlin Lowe
Caitlin Lowe is a former All-American outfielder and Olympic medalist who became the head coach of the University of Arizona Wildcats softball program.
-
D.
Katie Carr
Katie Carr is the conflicted, self-critical doctor and wife who narrates Nick Hornby’s novel "How to Be Good," exploring themes of morality, marriage, and modern middle-class guilt.
-
E.
Tessa Humphries
Tessa Humphries is an Australian actress and the daughter of famed comedian and satirist Barry Humphries.
- 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: Cara Theobold Triple: [Tracer, voiceActor, Cara Theobold]
Generated description
Cara Theobold is a British actress best known for her roles in "Downton Abbey" and for voicing the character Tracer in the video game "Overwatch."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cara Theobold Target entity description: Cara Theobold is a British actress best known for her roles in "Downton Abbey" and for voicing the character Tracer in the video game "Overwatch."
-
A.
Cara Staggs
Cara Staggs is a graphic designer best known for creating the current state flag of Mississippi.
-
B.
Kara Hayward
Kara Hayward is an American actress best known for her breakout role as Suzy Bishop in Wes Anderson’s film "Moonrise Kingdom."
-
C.
Caitlin Lowe
Caitlin Lowe is a former All-American outfielder and Olympic medalist who became the head coach of the University of Arizona Wildcats softball program.
-
D.
Katie Carr
Katie Carr is the conflicted, self-critical doctor and wife who narrates Nick Hornby’s novel "How to Be Good," exploring themes of morality, marriage, and modern middle-class guilt.
-
E.
Tessa Humphries
Tessa Humphries is an Australian actress and the daughter of famed comedian and satirist Barry Humphries.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e09eec8190894069d86b79183d |
completed | April 10, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a7133d88190813a1e74ef310993 |
completed | May 2, 2026, 4:46 p.m. |
| NEDg | Description generation | batch_69f62d0377348190b7c227cad70286ac |
completed | May 2, 2026, 4:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62dc269e88190acce761f77d44654 |
completed | May 2, 2026, 5 p.m. |
Created at: April 8, 2026, 9:37 p.m.