Triple
T5580820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mama’s Gun |
E146634
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Bag Lady |
E144145
|
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: Bag Lady | Statement: [Mama’s Gun, hasSingle, Bag Lady]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bag Lady Context triple: [Mama’s Gun, hasSingle, Bag Lady]
-
A.
Bag Lady
chosen
"Bag Lady" is a neo-soul song by Erykah Badu, known for its mellow groove and empowering message about letting go of emotional baggage.
-
B.
Madame Ban
Madame Ban is the honorific title commonly used for Yoo Soon-taek, the wife of former United Nations Secretary-General Ban Ki-moon and a prominent South Korean public figure.
-
C.
Mrs. Wiggins
Mrs. Wiggins is a ditzy, slow-typing secretary character, famously portrayed by Carol Burnett in a recurring comedy sketch on her variety show.
-
D.
Ms. Teets
Ms. Teets is the central character of the story "Good Vibes," around whom the main events and themes revolve.
-
E.
Bonnie Bedelia
Bonnie Bedelia is an American actress known for her versatile film and television roles, including her performance as Holly Gennero McClane in the "Die Hard" films and as a central character in the TV drama "Parenthood."
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0208147a48190b2cdb42b9c9814a3 |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d26856c8190bdda69a049df1c10 |
completed | March 22, 2026, 8:12 p.m. |
Created at: March 22, 2026, 3:37 p.m.