Triple
T2658577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | This Boy's Life |
E54671
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Ellen Barkin |
E146533
|
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: Ellen Barkin | Statement: [This Boy's Life, starring, Ellen Barkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellen Barkin Context triple: [This Boy's Life, starring, Ellen Barkin]
-
A.
Ellen Barkin
chosen
Ellen Barkin is an American actress known for her intense, edgy performances in film and television, including prominent roles in movies like "The Big Easy" and the TV series "Animal Kingdom."
-
B.
Anne McDonnell
Anne McDonnell was an American socialite best known as the first wife of industrialist Henry Ford II.
-
C.
Gloria Rudisch
Gloria Rudisch is an American pediatrician and public health official best known as the wife of artificial intelligence pioneer Marvin Minsky.
-
D.
Candice Bergen
Candice Bergen is an American actress and former fashion model best known for her Emmy-winning role as the sharp-tongued journalist Murphy Brown on the hit television sitcom of the same name.
-
E.
Ann Dowd
Ann Dowd is an American character actress known for her intense, often unsettling performances in film and television, including roles in projects like "The Handmaid's Tale" and numerous acclaimed dramas and thrillers.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd94dcaa48190aec625f68ce61a02 |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbb50cec8190aea067e486a5b092 |
completed | March 10, 2026, 6:35 a.m. |
Created at: March 6, 2026, 9:53 p.m.