Triple

T14719288
Position Surface form Disambiguated ID Type / Status
Subject Long Lost E345765 entity
Predicate hasTrack P3284 FINISHED
Object At Sea E69092 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: At Sea | Statement: [Long Lost, hasTrack, At Sea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: At Sea
Context triple: [Long Lost, hasTrack, At Sea]
  • A. At Sea chosen
    "At Sea" is a section or component of Ernest Hemingway's posthumously published novel "Islands in the Stream," focusing on the protagonist's experiences during World War II naval patrols.
  • B. To the Sea
    To the Sea is a mellow, introspective 2010 studio album by Hawaiian singer-songwriter Jack Johnson that blends acoustic surf rock with themes of family, memory, and the ocean.
  • C. Out to Sea
    Out to Sea is a 1997 romantic comedy film starring Jack Lemmon and Walter Matthau as reluctant dance hosts on a cruise ship.
  • D. By the Sea
    By the Sea is a 2015 romantic drama film starring Angelina Jolie and Brad Pitt as a troubled couple on a seaside vacation in 1970s France.
  • E. By the Sea
    "By the Sea" is a darkly comic, fantasy-tinged song from Stephen Sondheim’s musical *Sweeney Todd*, in which Mrs. Lovett imagines an idyllic seaside life with the murderous barber.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb98823408190b4b58a4c4a3fa3a3 completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb8624bc8190b20441c2f5c4a2fa completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:29 a.m.