Triple
T8764739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baby Mama |
E208308
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | eOne |
E246896
|
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: eOne | Statement: [Baby Mama, recordLabel, eOne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: eOne Context triple: [Baby Mama, recordLabel, eOne]
-
A.
eOne
chosen
eOne is a global entertainment company known for producing and distributing film, television, and music content.
-
B.
eOne Films
eOne Films is the film distribution and production arm of Entertainment One, handling the acquisition, marketing, and release of movies in various international markets.
-
C.
Actian Games
Actian Games were athletic competitions held in ancient Rome to commemorate the naval victory at the Battle of Actium.
-
D.
Everest Entertainment
Everest Entertainment is a prominent Indian film production and distribution company best known for producing successful and acclaimed Marathi-language movies.
-
E.
Machine Entertainment Group
Machine Entertainment Group is a Chicago-based independent record label and management company known for working with hip-hop artists such as G Herbo.
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5dfdef9881908a7f079d87e8e338 |
completed | March 31, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf436106708190aedba29e57445303 |
completed | April 3, 2026, 4:34 a.m. |
Created at: March 30, 2026, 6:40 p.m.