Triple
T12490327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophia Bush |
E298543
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object | Erin Lindsay |
E683112
|
NE FINISHED |
How this triple was built (2 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: [Sophia Bush, characterPortrayed, Erin Lindsay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erin Lindsay Context triple: [Sophia Bush, characterPortrayed, Erin Lindsay]
-
A.
Erin Lindsay
chosen
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."
-
B.
Erin Richards
Erin Richards is a Welsh actress and director best known for her role as Barbara Kean in the television series "Gotham."
-
C.
Erin Gunn
Erin Gunn is a television producer best known for her executive production work on the medical drama series "The Good Doctor."
-
D.
Erin Kelley
Erin Kelley is a lively main character known for her passion for music and her love of dancing.
-
E.
Erin Daniels
Erin Daniels is an American actress best known for her role as Dana Fairbanks on the television drama series "The L Word."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94de1db9481909ddf70eb81cdb714 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd54f264d48190be636796d694ceb1 |
completed | May 8, 2026, 3:13 a.m. |
Created at: April 8, 2026, 9:56 p.m.