Triple
T15184761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Public Enemy |
E362838
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Mae Clarke |
E274387
|
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: Mae Clarke | Statement: [The Public Enemy, starring, Mae Clarke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mae Clarke Context triple: [The Public Enemy, starring, Mae Clarke]
-
A.
Mae Clarke
chosen
Mae Clarke was an American film actress best known for her roles in early 1930s Hollywood classics, including Frankenstein and The Public Enemy.
-
B.
Rosanna Hoult
Rosanna Hoult is a British actress known for her work in film and television and as the sister of actor Nicholas Hoult.
-
C.
Rebecca Ferguson
Rebecca Ferguson is a British television producer known for her work on high-profile drama series, including the BBC political scandal drama "The Trial of Christine Keeler."
-
D.
Rebecca Ferguson
Rebecca Ferguson is a Swedish actress known for her versatile performances in films such as the Mission: Impossible series, The Greatest Showman, and Dune.
-
E.
Saskia Reeves
Saskia Reeves is a British actress known for her work in film, television, and theatre, including roles in series such as "Luther" and numerous acclaimed stage productions.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006674c088190ba635a78c30f5637 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec893f1e08190a192b7b9b80484e8 |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:09 a.m.