Triple
T13969587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Page |
E336019
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Story of Us |
E308412
|
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: The Story of Us | Statement: [Sam Page, notableWork, The Story of Us]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Story of Us Context triple: [Sam Page, notableWork, The Story of Us]
-
A.
The Story of Us
chosen
"The Story of Us" is a romantic comedy-drama film best known for its portrayal of a long-term marriage in crisis, in which Rita Wilson appears in a supporting role.
-
B.
Story of Us
"Story of Us" is a song featured on the album "Back to Scratch."
-
C.
You Me & Us
You Me & Us is a music album best known for featuring the song "Perfect Moment."
-
D.
Between Us
Between Us is a greatest hits album by British girl group Little Mix, celebrating their 10-year anniversary with a collection of their most popular songs alongside new tracks.
-
E.
The Two of Us
"The Two of Us" is a memoir by British actress Sheila Hancock reflecting on her life and marriage to fellow actor John Thaw.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8daeac8190aadd4b3b60222482 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1dc838c8190bbcfefd69ea29965 |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:18 p.m.