Triple
T14520137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pale Rider |
E340627
|
entity |
| Predicate | costumeDesigner |
P184
|
FINISHED |
| Object | Leah Rhodes |
E867646
|
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: Leah Rhodes | Statement: [Pale Rider, costumeDesigner, Leah Rhodes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leah Rhodes Context triple: [Pale Rider, costumeDesigner, Leah Rhodes]
-
A.
Leah Rhodes
chosen
Leah Rhodes was an American costume designer known for her work on classic Hollywood films in the mid-20th century.
-
B.
Leah Salisbury
Leah Salisbury was the wife of American playwright and screenwriter Sidney Howard.
-
C.
Leah Ayres
Leah Ayres is an American actress best known for her roles in 1980s films and television series, including the cult martial arts movie "Bloodsport."
-
D.
Emily Rhodes
Emily Rhodes is a central fictional political aide and later White House Chief of Staff in the American television series "Designated Survivor."
-
E.
Leah Haywood
Leah Haywood is an Australian singer-songwriter and producer known for both her own pop releases and her songwriting work for major international artists.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a70b15c81908773633e989ef704 |
completed | April 14, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde16666b8819090fb33c71515ab0a |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:22 a.m.