Triple
T3128691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | i,i |
E65357
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Hey, Ma |
E65366
|
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: Hey, Ma | Statement: [i,i, hasPart, Hey, Ma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hey, Ma Context triple: [i,i, hasPart, Hey, Ma]
-
A.
Hey, Ma
chosen
"Hey, Ma" is a reflective, atmospheric indie folk song by Bon Iver known for its nostalgic lyrics and layered, experimental production.
-
B.
Hello Mary Lou
"Hello Mary Lou" is a popular 1961 rock and roll song recorded by Ricky Nelson that became one of his signature hits.
-
C.
Mama
"Mama" is a 1987 debut novel by Terry McMillan that follows a resilient Black single mother struggling to raise her children and rebuild her life amid poverty and personal turmoil.
-
D.
Mama
Mama is a key supporting character in the video game "Death Stranding," a brilliant yet tragic scientist who aids protagonist Sam Porter Bridges with her expertise in chiral technology.
-
E.
Hey Reb!
Hey Reb! is the mustachioed frontiersman mascot of the University of Nevada, Las Vegas, representing the school's Runnin' Rebels athletic teams.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada548123c8190bcfe780c65941585 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f7c70108190b61177d1581fc33f |
completed | March 12, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:04 p.m.