Triple
T20436785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secret Story |
E501268
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | “The Longest Summer” |
—
|
NE NERFINISHED |
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 Longest Summer” | Statement: [Secret Story, hasPart, “The Longest Summer”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “The Longest Summer” Context triple: [Secret Story, hasPart, “The Longest Summer”]
-
A.
The Longest Summer
chosen
"The Longest Summer" is a track by the British progressive rock band Like Minds, known for its atmospheric, melodic style.
-
B.
Last Summer
"Last Summer" is a track from Rod Stewart's 1978 rock album "Blondes Have More Fun."
-
C.
Our Last Summer
"Our Last Summer" is a nostalgic pop song by the Swedish group ABBA, featured in the musical and film adaptation of Mamma Mia!.
-
D.
A Summer Story
A Summer Story is a 1988 British romantic drama film set in the early 20th century, following a young lawyer’s poignant love affair with a country girl on the Devon moors.
-
E.
The Never-Ending Summer
The Never-Ending Summer is a novel by British author Emma Kennedy, known as a warm, nostalgic coming-of-age story set against the backdrop of the late 20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685ef5fc8819089e3f97a63a52f86 |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.