Triple
T7288439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago P.D. |
E163932
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Erin Lindsay
Erin Lindsay is a tough yet compassionate former street kid turned detective in the Chicago Police Department’s Intelligence Unit, portrayed by Sophia Bush in the TV series "Chicago P.D."
|
E683112
|
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: Erin Lindsay | Statement: [Chicago P.D., character, Erin Lindsay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erin Lindsay Context triple: [Chicago P.D., character, Erin Lindsay]
-
A.
Erin Gunn
Erin Gunn is a television producer best known for her executive production work on the medical drama series "The Good Doctor."
-
B.
Erin Kelley
Erin Kelley is a lively main character known for her passion for music and her love of dancing.
-
C.
Erin Daniels
Erin Daniels is an American actress best known for her role as Dana Fairbanks on the television drama series "The L Word."
-
D.
Erin Walton
Erin Walton is a central daughter in the Walton family on the classic American television series "The Waltons," known for her sensitivity, ambition, and evolving independence.
-
E.
Erin McDermott
Erin McDermott is a collegiate sports administrator best known as the athletic director at Harvard University.
- 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: Erin Lindsay Triple: [Chicago P.D., character, Erin Lindsay]
Generated description
Erin Lindsay is a tough yet compassionate former street kid turned detective in the Chicago Police Department’s Intelligence Unit, portrayed by Sophia Bush in the TV series "Chicago P.D."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erin Lindsay Target entity description: Erin Lindsay is a tough yet compassionate former street kid turned detective in the Chicago Police Department’s Intelligence Unit, portrayed by Sophia Bush in the TV series "Chicago P.D."
-
A.
Erin Gunn
Erin Gunn is a television producer best known for her executive production work on the medical drama series "The Good Doctor."
-
B.
Erin Kelley
Erin Kelley is a lively main character known for her passion for music and her love of dancing.
-
C.
Erin Daniels
Erin Daniels is an American actress best known for her role as Dana Fairbanks on the television drama series "The L Word."
-
D.
Erin Walton
Erin Walton is a central daughter in the Walton family on the classic American television series "The Waltons," known for her sensitivity, ambition, and evolving independence.
-
E.
Erin McDermott
Erin McDermott is a collegiate sports administrator best known as the athletic director at Harvard University.
- 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb6a73fc8190ae5ce81fd3e46d87 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8ac7fdaec8190a014513b8b60977b |
completed | March 29, 2026, 4:37 a.m. |
| NEDg | Description generation | batch_69c8aea3c1448190b254ce8be91e7806 |
completed | March 29, 2026, 4:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8af00d8e08190b9898cdeaeb611ae |
completed | March 29, 2026, 4:48 a.m. |
Created at: March 27, 2026, 3 p.m.