Triple
T17976741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filthy |
E449493
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Leah Haywood |
—
|
NE NERFINISHED |
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 Haywood | Statement: [Filthy, writer, Leah Haywood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leah Haywood Context triple: [Filthy, writer, Leah Haywood]
-
A.
Leah Haywood
chosen
Leah Haywood is an Australian singer-songwriter and producer known for both her own pop releases and her songwriting work for major international artists.
-
B.
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."
-
C.
Leah Hanwell
Leah Hanwell is a central character in Zadie Smith’s novel "NW," depicted as a working-class Londoner navigating friendship, identity, and social mobility in contemporary northwest London.
-
D.
Leah Wood
Leah Wood is a British singer, model, and television personality, best known as the daughter of Rolling Stones guitarist Ronnie Wood.
-
E.
Leah Vaughn
Leah Vaughn is the successful professional woman whose seemingly ideal new romance turns dangerously obsessive in the 2015 thriller film "The Perfect Guy."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b20010c8819088c022565183a7ff |
completed | April 19, 2026, 10:44 a.m. |
Created at: April 10, 2026, 10:22 a.m.