Triple

T6239901
Position Surface form Disambiguated ID Type / Status
Subject Some Lessons Learned E139572 entity
Predicate hasTrack P3284 FINISHED
Object I Was Here E240632 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: I Was Here | Statement: [Some Lessons Learned, hasTrack, I Was Here]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: I Was Here
Context triple: [Some Lessons Learned, hasTrack, I Was Here]
  • A. I Was Here chosen
    "I Was Here" is a song best known for Beyoncé’s powerful ballad reflecting on legacy and making a meaningful impact on the world.
  • B. I Was There
    "I Was There" is a song by the American punk rock band Green Day, featured on their debut studio album 39/Smooth.
  • C. I Was There
    "I Was There" is the memoir of Fleet Admiral William D. Leahy, offering an insider’s account of high-level Allied strategy and decision-making during World War II.
  • D. I’m Still Here
    "I'm Still Here" is an emotional rock ballad performed by John Rzeznik for Disney's animated film Treasure Planet, reflecting the protagonist Jim Hawkins' inner struggles and desire for independence.
  • E. I’m Still Here
    "I’m Still Here" is a celebrated Stephen Sondheim showstopper from the musical *Follies*, in which an aging performer defiantly recounts her survival through decades of personal and professional upheaval.
  • 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_69c008b0e7ac8190808a59573ee646f3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063067d9c819085a18d9d03939266 completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20e07bff8819091ca881c9b4daaf6 completed March 24, 2026, 4:07 a.m.
Created at: March 22, 2026, 4:23 p.m.