Triple

T18012244
Position Surface form Disambiguated ID Type / Status
Subject Lorrie Morgan E430910 entity
Predicate notableWork P4 FINISHED
Object I Just Might Be
"I Just Might Be" is a country music song recorded by American singer Lorrie Morgan.
 E1301399 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: I Just Might Be | Statement: [Lorrie Morgan, notableWork, I Just Might Be]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: I Just Might Be
Context triple: [Lorrie Morgan, notableWork, I Just Might Be]
  • A. I Just Might
    "I Just Might" is a key musical number from the stage adaptation of "9 to 5," reflecting the characters’ aspirations and frustrations within their workplace struggles.
  • B. I Might
    "I Might" is a song by the American indie rock band Wilco, released as the lead single from their 2011 album "The Whole Love."
  • C. You Might Think
    "You Might Think" is a 1984 new wave rock song by The Cars, best known for its innovative, early computer-animated music video.
  • D. It Might Be You
    "It Might Be You" is a romantic ballad performed by Stephen Bishop that became widely known as the love theme from the 1982 film *Tootsie*.
  • E. Might Not
    "Might Not" is a song by American rapper Belly, known for its moody production and collaboration with The Weeknd.
  • 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: I Just Might Be
Triple: [Lorrie Morgan, notableWork, I Just Might Be]
Generated description
"I Just Might Be" is a country music song recorded by American singer Lorrie Morgan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: I Just Might Be
Target entity description: "I Just Might Be" is a country music song recorded by American singer Lorrie Morgan.
  • A. I Just Might
    "I Just Might" is a key musical number from the stage adaptation of "9 to 5," reflecting the characters’ aspirations and frustrations within their workplace struggles.
  • B. I Might
    "I Might" is a song by the American indie rock band Wilco, released as the lead single from their 2011 album "The Whole Love."
  • C. You Might Think
    "You Might Think" is a 1984 new wave rock song by The Cars, best known for its innovative, early computer-animated music video.
  • D. It Might Be You
    "It Might Be You" is a romantic ballad performed by Stephen Bishop that became widely known as the love theme from the 1982 film *Tootsie*.
  • E. Might Not
    "Might Not" is a song by American rapper Belly, known for its moody production and collaboration with The Weeknd.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b520ea088190b74903f1e1ba49e2 completed April 19, 2026, 10:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0343210348819092a0f11571693e24 completed May 12, 2026, 3:11 p.m.
NEDg Description generation batch_6a034424f3fc8190bee39b2ae2f19d70 completed May 12, 2026, 3:15 p.m.
NED2 Entity disambiguation (via description) batch_6a034517f4148190864d916f4d1ef5ba completed May 12, 2026, 3:19 p.m.
Created at: April 10, 2026, 10:24 a.m.