Triple
T4015613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randy Bass |
E90749
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Randy |
E387843
|
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: Randy | Statement: [Randy Bass, givenName, Randy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randy Context triple: [Randy Bass, givenName, Randy]
-
A.
Randy
chosen
Randy is a supporting character in the dark comedy film "The Opposite of Sex," involved in the tangled romantic and emotional conflicts that drive the story.
-
B.
Randy Randall
Randy Randall is an American guitarist best known as one half of the noise rock duo No Age.
-
C.
Randall
Randall is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
-
D.
Randy Sparks
Randy Sparks is an American musician, songwriter, and founder of the folk group The New Christy Minstrels, influential in the 1960s folk revival.
-
E.
Randy Woods
Randy Woods is a former American basketball player best known as a standout guard at La Salle University who went on to play in the NBA.
- 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_69aed95e44088190aff7d90a151b1b20 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa7352481908232534c89a698e7 |
completed | March 9, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c768e5481908b184332e3c73588 |
completed | March 14, 2026, 11:54 a.m. |
Created at: March 9, 2026, 3:35 p.m.