Triple
T6664368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chuck |
E151560
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object |
Sarah Lancaster
Sarah Lancaster is an American actress best known for her television roles, including playing Ellie Bartowski on the series "Chuck."
|
E608784
|
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: Sarah Lancaster | Statement: [Chuck, leadActor, Sarah Lancaster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Lancaster Context triple: [Chuck, leadActor, Sarah Lancaster]
-
A.
Lindsay Clare
Lindsay Clare is an Australian architect known for designing prominent public buildings, including major cultural institutions.
-
B.
Sarah Morgan
Sarah Morgan is a British comedy writer and performer known for her work on BBC Radio 4’s satirical sketch show "The Now Show."
-
C.
Elizabeth Knight
Elizabeth Knight was the mother of famed American actress Carole Lombard, playing a formative role in her early life and career.
-
D.
Charlotte Duncan
Charlotte Duncan is a character from the early horror film "Mystery of the Wax Museum," involved in the story’s eerie wax-figure mystery.
-
E.
Susannah Grant
Susannah Grant is an American screenwriter, director, and producer best known for writing the film "Erin Brockovich" and creating several television series.
- 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: Sarah Lancaster Triple: [Chuck, leadActor, Sarah Lancaster]
Generated description
Sarah Lancaster is an American actress best known for her television roles, including playing Ellie Bartowski on the series "Chuck."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarah Lancaster Target entity description: Sarah Lancaster is an American actress best known for her television roles, including playing Ellie Bartowski on the series "Chuck."
-
A.
Lindsay Clare
Lindsay Clare is an Australian architect known for designing prominent public buildings, including major cultural institutions.
-
B.
Sarah Morgan
Sarah Morgan is a British comedy writer and performer known for her work on BBC Radio 4’s satirical sketch show "The Now Show."
-
C.
Elizabeth Knight
Elizabeth Knight was the mother of famed American actress Carole Lombard, playing a formative role in her early life and career.
-
D.
Charlotte Duncan
Charlotte Duncan is a character from the early horror film "Mystery of the Wax Museum," involved in the story’s eerie wax-figure mystery.
-
E.
Susannah Grant
Susannah Grant is an American screenwriter, director, and producer best known for writing the film "Erin Brockovich" and creating several television series.
- 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_69c687f5fac48190a09e4838d9c6b45d |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b09bc69c8190addb8075415ec6d9 |
completed | March 27, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef0c1fc081909e37296958a04572 |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f0bd833c8190849c918d20648325 |
completed | March 27, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f15b7d848190815be600234461ba |
completed | March 27, 2026, 9:06 p.m. |
Created at: March 27, 2026, 2:02 p.m.