Triple
T8881398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catherine Willows |
E211418
|
entity |
| Predicate | parentOf |
P120
|
FINISHED |
| Object | Lindsey Willows |
E765544
|
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: Lindsey Willows | Statement: [Catherine Willows, parentOf, Lindsey Willows]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lindsey Willows Context triple: [Catherine Willows, parentOf, Lindsey Willows]
-
A.
Lindsey Willows
chosen
Lindsey Willows is a recurring character in the television series "CSI: Crime Scene Investigation," known as the daughter of forensic investigator Catherine Willows.
-
B.
Lindsey Morgan
Lindsey Morgan is an American actress best known for her role as Raven Reyes on the science fiction television series "The 100."
-
C.
Lindsey Martin
Lindsey Martin is a television producer best known for serving as an executive producer on the crime drama series NCIS: Sydney.
-
D.
Lindsey Nelson
Lindsey Nelson was a prominent American sportscaster best known for his play-by-play broadcasting of college football and New York Mets baseball games.
-
E.
Lindsay Edgecomb
Lindsay Edgecomb is a popular high school student and the protagonist’s best friend in the teen drama film "Before I Fall."
- 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6168e3d881908c58cf11cf5f9a0e |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc92c2f088190b953de2bfcbb5bb5 |
completed | April 3, 2026, 2:05 p.m. |
Created at: March 30, 2026, 6:53 p.m.