Triple
T10972606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethan Chandler |
E259278
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Brona Croft |
E259279
|
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: Brona Croft | Statement: [Ethan Chandler, associatedWith, Brona Croft]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brona Croft Context triple: [Ethan Chandler, associatedWith, Brona Croft]
-
A.
Brona Croft
chosen
Brona Croft is a tragic Irish immigrant and love interest of Ethan Chandler in the gothic horror TV series "Penny Dreadful," who later becomes the resurrected figure Lily Frankenstein.
-
B.
Robin
Robin is a given name commonly used in various cultures, often as a diminutive or variant of names like Robert.
-
C.
Robin
Robin is the disciplined and strategic leader of the Teen Titans, a young superhero team in the DC Comics universe.
-
D.
Joan Blackman
Joan Blackman is an American actress best known for her leading roles opposite Elvis Presley in early 1960s films.
-
E.
Valerie Gaunt
Valerie Gaunt was a British actress best known for her roles in classic Hammer horror films of the 1950s.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7719c16648190ab5a87abb1c61990 |
completed | April 9, 2026, 9:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d7a0b3dc819084fbda3227caf5b5 |
completed | April 18, 2026, 1 a.m. |
Created at: April 8, 2026, 9:24 p.m.