Triple
T3653371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mare of Easttown |
E77472
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Brad Ingelsby |
E375726
|
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: Brad Ingelsby | Statement: [Mare of Easttown, writer, Brad Ingelsby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brad Ingelsby Context triple: [Mare of Easttown, writer, Brad Ingelsby]
-
A.
Brad Ingelsby
chosen
Brad Ingelsby is an American screenwriter and producer known for creating character-driven crime dramas, including the acclaimed HBO miniseries "Mare of Easttown."
-
B.
Derek Bryceson
Derek Bryceson was a British-born Tanzanian politician and conservationist who served as director of Tanzania’s national parks and played a key role in supporting Jane Goodall’s chimpanzee research.
-
C.
Greg Eklund
Greg Eklund is an American drummer best known for his work with the alternative rock band Everclear.
-
D.
Brandon Trost
Brandon Trost is an American cinematographer and director known for his dynamic, stylized visual work on high-energy action and genre films.
-
E.
John Rickard
John Rickard is a film producer known for working on mainstream Hollywood comedies and studio features.
- 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3b805a48190a7bc230a382365d6 |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b488394aa48190b91985aa912cf733 |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:24 p.m.