Triple
T15217655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gene Shue |
E363680
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Shue |
E885552
|
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: Shue | Statement: [Gene Shue, familyName, Shue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shue Context triple: [Gene Shue, familyName, Shue]
-
A.
Shue
chosen
Shue is the surname of American actress Elisabeth Shue, known for her roles in films such as "The Karate Kid," "Back to the Future Part II," and "Leaving Las Vegas."
-
B.
Shou
Shou is the personal name of King Zhou of Shang, the last ruler of China’s Shang dynasty, often depicted in tradition as a tyrannical and decadent monarch.
-
C.
Shuh
Shuh is an alternative transliteration of Shu, the ancient Egyptian god of air and supporter of the sky.
-
D.
Shakka
Shakka is a work associated with Indian actress and model Persis Khambatta, best known internationally for her role as Lieutenant Ilia in "Star Trek: The Motion Picture."
-
E.
Shoki
"Shoki" is a popular Nigerian street-hop song by Lil Kesh that helped propel him to mainstream fame and popularized a viral dance of the same name.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076f90c481909989befe031a2cae |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed343f51481908f04c35d37b39ad2 |
completed | May 9, 2026, 6:25 a.m. |
Created at: April 10, 2026, 3:11 a.m.