Triple
T16147855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cosima Shaw |
E391832
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Zenon: Z3 |
E1096673
|
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: Zenon: Z3 | Statement: [Cosima Shaw, notableWork, Zenon: Z3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zenon: Z3 Context triple: [Cosima Shaw, notableWork, Zenon: Z3]
-
A.
Z3
Z3 is a high-performance theorem prover and SMT (Satisfiability Modulo Theories) solver developed by Microsoft Research, widely used in formal verification, program analysis, and automated reasoning.
-
B.
Zed
Zed is the rebellious Exterminator protagonist played by Sean Connery in the 1974 science fiction film "Zardoz."
-
C.
Zed
Zed is the stern, no-nonsense head of the secret government agency overseeing extraterrestrial activity in the "Men in Black" film series.
-
D.
Zenon: Girl of the 21st Century
chosen
Zenon: Girl of the 21st Century is a 1999 Disney Channel Original Movie about a spirited teenage girl living on a space station in the mid-21st century who must save her home from a sinister plot.
-
E.
Zenú
The Zenú are an indigenous people of northern Colombia known for their sophisticated pre-Columbian goldworking, hydraulic engineering, and rich artistic traditions.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d9551e081908391061b092ff31b |
completed | April 17, 2026, 11:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7a7dc3481909f933acd72d6feff |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:01 a.m.