Triple
T6305028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mildred Spiewak |
E141352
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Queen of Carbon |
E123265
|
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: Queen of Carbon | Statement: [Mildred Spiewak, nickname, Queen of Carbon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queen of Carbon Context triple: [Mildred Spiewak, nickname, Queen of Carbon]
-
A.
Queen of Carbon
chosen
Queen of Carbon is the nickname of physicist Mildred Dresselhaus, renowned for her pioneering research on the electronic properties of carbon materials such as graphite, fullerenes, and carbon nanotubes.
-
B.
All Hail the Queen
All Hail the Queen is Queen Latifah’s influential 1989 debut hip-hop album that helped establish her as a pioneering female voice in rap and the Native Tongues movement.
-
C.
Queen of Queens
Queen of Queens is the exalted royal title borne by Tamar of Georgia, reflecting her status as a supreme and sovereign monarch in medieval Georgian history.
-
D.
A Speck of Dust
A Speck of Dust is a stand-up comedy special by Sarah Silverman featuring her characteristic blend of sharp social commentary and personal storytelling.
-
E.
The Catalyst
The Catalyst is a prominent innovation and business hub building at the University of York’s Heslington East campus, designed to support startups, enterprise, and collaborative research.
- 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_69c008cf0ad4819095def81e2bd42f9f |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0645f26a881909d5746151c0843cc |
completed | March 22, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e44527488190b3d605e917c8dfb2 |
completed | March 27, 2026, 1:58 a.m. |
Created at: March 22, 2026, 4:28 p.m.