Triple
T1827292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Holes and Baby Universes and Other Essays |
E40680
|
entity |
| Predicate | topic |
P261
|
FINISHED |
| Object | Big Bang |
E59308
|
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: Big Bang | Statement: [Black Holes and Baby Universes and Other Essays, topic, Big Bang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Bang Context triple: [Black Holes and Baby Universes and Other Essays, topic, Big Bang]
-
A.
Big Bang
chosen
The Big Bang is the prevailing cosmological theory that the universe began as an extremely hot, dense state and has been expanding and evolving ever since.
-
B.
Black Star
Black Star is a critically acclaimed hip hop duo consisting of rappers Mos Def (Yasiin Bey) and Talib Kweli, known for their socially conscious lyrics and influential role in underground rap.
-
C.
Big Blue
Big Blue is the widely used nickname for the New York Giants, a professional American football team in the NFL.
-
D.
Big Blue
Big Blue is the costumed mascot character representing Bluefield State University at its athletic events and campus activities.
-
E.
The Buds
The Buds is a popular nickname for the Toronto Maple Leafs, the historic NHL franchise based in Toronto, Ontario.
- 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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb01022108190b1da05a31454ab8d |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9b24f448190a3aa5a85a9106d71 |
completed | March 8, 2026, 7:10 p.m. |
Created at: March 4, 2026, 7:32 p.m.