Triple
T5201107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Chill |
E117393
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Meg Tilly |
E268050
|
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: Meg Tilly | Statement: [The Big Chill, stars, Meg Tilly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meg Tilly Context triple: [The Big Chill, stars, Meg Tilly]
-
A.
Meg Tilly
chosen
Meg Tilly is a Canadian-American actress and novelist best known for her Academy Award–nominated performance in the film "Agnes of God."
-
B.
Maria Bello
Maria Bello is an American actress known for her versatile roles in film and television, including performances in projects like "A History of Violence," "ER," and "NCIS."
-
C.
Eliza Scanlen
Eliza Scanlen is an Australian actress known for her roles in film and television, including prominent performances in projects like "Sharp Objects" and "Little Women."
-
D.
Alexandra Breckenridge
Alexandra Breckenridge is an American actress known for her roles in television series such as American Horror Story and This Is Us, as well as the Netflix drama Virgin River.
-
E.
Alison Lohman
Alison Lohman is an American actress known for her roles in films such as Big Fish, White Oleander, and Drag Me to Hell.
- 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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a228e2c81908bfbd48ed9f2cd5e |
completed | March 20, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beefc60abc8190a0abcaf8b42dfe3d |
completed | March 21, 2026, 7:21 p.m. |
Created at: March 20, 2026, 1:47 p.m.