Triple
T278753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Curtis |
E5307
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Yesterday
Yesterday is a 2019 British romantic comedy film with a musical twist, centered on a struggling musician who wakes up in a world where only he remembers the songs of The Beatles.
|
E36277
|
NE FINISHED |
How this triple was built (4 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: Yesterday | Statement: [Richard Curtis, notableWork, Yesterday]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yesterday Context triple: [Richard Curtis, notableWork, Yesterday]
-
A.
Ayer
Ayer is a small town in north-central Massachusetts that functions as a regional commuter hub with rail connections to Boston.
-
B.
Today
Today is a long-running American morning news and talk show on NBC featuring news coverage, interviews, and lifestyle segments.
-
C.
Day
"Day" is a memoir by Elie Wiesel that continues his reflection on Holocaust survival and its psychological aftermath, following the events depicted in "Night."
-
D.
Tomorrow
"Tomorrow" is a song by John Legend from his R&B album *Love in the Future*.
-
E.
Hoy
Hoy is one of the larger islands of the Orkney archipelago in Scotland, known for its dramatic sea cliffs, rugged landscapes, and notable sea stack the Old Man of Hoy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yesterday Triple: [Richard Curtis, notableWork, Yesterday]
Generated description
Yesterday is a 2019 British romantic comedy film with a musical twist, centered on a struggling musician who wakes up in a world where only he remembers the songs of The Beatles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yesterday Target entity description: Yesterday is a 2019 British romantic comedy film with a musical twist, centered on a struggling musician who wakes up in a world where only he remembers the songs of The Beatles.
-
A.
Ayer
Ayer is a small town in north-central Massachusetts that functions as a regional commuter hub with rail connections to Boston.
-
B.
Today
Today is a long-running American morning news and talk show on NBC featuring news coverage, interviews, and lifestyle segments.
-
C.
Day
"Day" is a memoir by Elie Wiesel that continues his reflection on Holocaust survival and its psychological aftermath, following the events depicted in "Night."
-
D.
Tomorrow
"Tomorrow" is a song by John Legend from his R&B album *Love in the Future*.
-
E.
Hoy
Hoy is one of the larger islands of the Orkney archipelago in Scotland, known for its dramatic sea cliffs, rugged landscapes, and notable sea stack the Old Man of Hoy.
- F. None of above. chosen
Provenance (5 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25dee7830819087f153769a8496b9 |
completed | Feb. 28, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a394a2b1a081909bb78499544984da |
completed | March 1, 2026, 1:21 a.m. |
| NEDg | Description generation | batch_69a3956f12208190bdfc4f265b712ce8 |
completed | March 1, 2026, 1:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a395e03da8819095339cc6f9a230e4 |
completed | March 1, 2026, 1:26 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.