Triple
T7494744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bedtime Stories |
E177094
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Teresa Palmer |
E227101
|
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: Teresa Palmer | Statement: [Bedtime Stories, starring, Teresa Palmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teresa Palmer Context triple: [Bedtime Stories, starring, Teresa Palmer]
-
A.
Teresa Palmer
chosen
Teresa Palmer is an Australian actress known for her roles in films such as "Warm Bodies," "Lights Out," and "Hacksaw Ridge."
-
B.
Kelly Reilly
Kelly Reilly is an English actress known for her roles in films like "Flight" and the "Sherlock Holmes" series, as well as the television drama "Yellowstone."
-
C.
Amber Scott
Amber Scott is a prominent Australian ballerina renowned for her long-standing career as a principal artist with The Australian Ballet.
-
D.
Kate Harrington
Kate Harrington is known as the former spouse of American film director John McTiernan, who is famous for action films such as "Die Hard" and "Predator."
-
E.
Catherine Bell
Catherine Bell is an American actress best known for her role as Lieutenant Colonel Sarah "Mac" MacKenzie on the television series JAG.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f57b5b4c8190ab839e6a98ee86ed |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c846043ed48190b6fa45ed0e70b4d3 |
completed | March 28, 2026, 9:20 p.m. |
Created at: March 27, 2026, 3:43 p.m.