Triple

T8839777
Position Surface form Disambiguated ID Type / Status
Subject Alas, I Cannot Swim E210356 entity
Predicate hasTrack P3284 FINISHED
Object My Manic and I
"My Manic and I" is a song by British singer-songwriter Laura Marling, featured on her debut album "Alas, I Cannot Swim."
 E761929 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: My Manic and I | Statement: [Alas, I Cannot Swim, hasTrack, My Manic and I]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: My Manic and I
Context triple: [Alas, I Cannot Swim, hasTrack, My Manic and I]
  • A. My Man
    "My Man" is a classic torch song most famously performed by Barbra Streisand in the 1968 musical film *Funny Girl*.
  • B. Crazy Man, Crazy
    "Crazy Man, Crazy" is a pioneering 1953 rock and roll single by Bill Haley & His Comets that helped bring the emerging genre into mainstream popularity.
  • C. I’m Your Man
    I’m Your Man is a 1988 studio album by Leonard Cohen that marked his shift toward a more synth-driven sound and includes some of his most acclaimed late-career songs.
  • D. Gotta Man
    "Gotta Man" is a hip hop song produced by Kasseem "Swizz Beatz" Dean, known for its energetic beat and signature late-1990s East Coast rap sound.
  • E. Don’t Mess with My Man
    "Don’t Mess with My Man" is an R&B song by the supergroup Lucy Pearl, known for its smooth groove and themes of romantic loyalty and warning.
  • 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: My Manic and I
Triple: [Alas, I Cannot Swim, hasTrack, My Manic and I]
Generated description
"My Manic and I" is a song by British singer-songwriter Laura Marling, featured on her debut album "Alas, I Cannot Swim."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: My Manic and I
Target entity description: "My Manic and I" is a song by British singer-songwriter Laura Marling, featured on her debut album "Alas, I Cannot Swim."
  • A. My Man
    "My Man" is a classic torch song most famously performed by Barbra Streisand in the 1968 musical film *Funny Girl*.
  • B. Crazy Man, Crazy
    "Crazy Man, Crazy" is a pioneering 1953 rock and roll single by Bill Haley & His Comets that helped bring the emerging genre into mainstream popularity.
  • C. I’m Your Man
    I’m Your Man is a 1988 studio album by Leonard Cohen that marked his shift toward a more synth-driven sound and includes some of his most acclaimed late-career songs.
  • D. Gotta Man
    "Gotta Man" is a hip hop song produced by Kasseem "Swizz Beatz" Dean, known for its energetic beat and signature late-1990s East Coast rap sound.
  • E. Don’t Mess with My Man
    "Don’t Mess with My Man" is an R&B song by the supergroup Lucy Pearl, known for its smooth groove and themes of romantic loyalty and warning.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60849f8c8190b7735defecf55a5d completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf899c5b288190b854acebc9fe33d1 completed April 3, 2026, 9:34 a.m.
NEDg Description generation batch_69cf8ab6c1a8819097b8a84902a10296 completed April 3, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_69cf8bc521dc81908918b48a25f290bb completed April 3, 2026, 9:43 a.m.
Created at: March 30, 2026, 6:48 p.m.