Triple
T14240154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Boy with the Topknot |
E352982
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Lynsey Miller |
E866540
|
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: Lynsey Miller | Statement: [The Boy with the Topknot, director, Lynsey Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lynsey Miller Context triple: [The Boy with the Topknot, director, Lynsey Miller]
-
A.
Lynsey Miller
chosen
Lynsey Miller is a British television director known for her work on high-profile drama series, including the crime drama "Deadwater Fell."
-
B.
Lindsay Mills
Lindsay Mills is an American acrobat, dancer, and blogger best known as the longtime partner of NSA whistleblower Edward Snowden.
-
C.
Lindsay Brunnock
Lindsay Brunnock is a British art director known for her work in film and television and for being married to actor and director Kenneth Branagh.
-
D.
Kellie Miller
Kellie Miller is one of the plaintiffs who challenged Tennessee’s ban on recognizing same-sex marriages in the federal court case Tanco v. Haslam.
-
E.
Lindsey Morgan
Lindsey Morgan is an American actress best known for her role as Raven Reyes on the science fiction television series "The 100."
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62432fb48190b153805b85c4f2d2 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f1f80648190a4a0e8260ac95194 |
completed | May 9, 2026, 4:21 p.m. |
Created at: April 10, 2026, 1:08 a.m.