Triple
T2461550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | While We're Young |
E54544
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Naomi Watts |
E103014
|
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: Naomi Watts | Statement: [While We're Young, stars, Naomi Watts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naomi Watts Context triple: [While We're Young, stars, Naomi Watts]
-
A.
Naomi Watts
chosen
Naomi Watts is an acclaimed British-Australian actress known for her emotionally intense performances in films such as "Mulholland Drive," "The Ring," and "21 Grams."
-
B.
Rachel McAdams
Rachel McAdams is a Canadian actress known for her versatile performances in films such as "Mean Girls," "The Notebook," and "Spotlight."
-
C.
Jennifer Connelly
Jennifer Connelly is an American actress acclaimed for her versatile performances in films ranging from independent dramas to major Hollywood productions, including her Oscar-winning role in "A Beautiful Mind."
-
D.
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."
-
E.
Rose Byrne
Rose Byrne is an Australian actress known for her versatile performances in films such as Bridesmaids, Neighbors, and X-Men: First Class, as well as the TV series Damages.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd11c47408190b10c7f6a151f2db2 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0d2b2748190b12611863d8bf4ad |
completed | March 9, 2026, 4:09 p.m. |
Created at: March 6, 2026, 9:44 p.m.