Triple
T8483725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mom + Pop Music |
E200781
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | Mom + Pop |
E200785
|
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: Mom + Pop | Statement: [Mom + Pop Music, hasAbbreviation, Mom + Pop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mom + Pop Context triple: [Mom + Pop Music, hasAbbreviation, Mom + Pop]
-
A.
Mom + Pop
chosen
Mom + Pop is a song by the American rock band Lucius, known for its lush harmonies and indie-pop sensibility.
-
B.
We're a Happy Family
"We're a Happy Family" is a fast, punk rock song by the Ramones that satirically portrays a dysfunctional suburban family.
-
C.
Pop-Pop
Pop-Pop is the affectionate family nickname for George Bluth Sr., the scheming patriarch from the television series "Arrested Development."
-
D.
Mom & Me & Mom
Mom & Me & Mom is a memoir by Maya Angelou that explores her complex, evolving relationship with her mother and the impact it had on her life and identity.
-
E.
My Two Dads
My Two Dads is an American sitcom from the late 1980s about a teenage girl being raised by two men who may both be her father.
- 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe53845e881909eeb32863c7aa942 |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a348a8481908a72c7ac15605022 |
completed | April 2, 2026, 9:43 a.m. |
Created at: March 30, 2026, 6:12 p.m.