Triple
T10935486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monarch |
E258321
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Bill Randa |
E796798
|
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: Bill Randa | Statement: [Monarch, founder, Bill Randa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Randa Context triple: [Monarch, founder, Bill Randa]
-
A.
Bill Randa
chosen
Bill Randa is a key MonsterVerse character portrayed as a determined government researcher obsessed with uncovering the truth about giant monsters and the hidden history of Skull Island.
-
B.
Chip Hardesty
Chip Hardesty is the fictional FBI agent protagonist of the 1959 film "The FBI Story," whose career dramatizes the Bureau’s history and major cases.
-
C.
Don Dodson
Don Dodson is an individual whose name is associated with or referenced by the term "Dodson."
-
D.
Dennis Dugan
Dennis Dugan is an American film director, actor, and comedian best known for directing numerous Adam Sandler-led comedies such as "Happy Gilmore," "Big Daddy," and "Grown Ups."
-
E.
Bill Nunn
Bill Nunn was an American character actor best known for his memorable supporting roles in films like "Do the Right Thing" and the "Spider-Man" trilogy.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770aee178819082c1671a37ff7d82 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d710f65c8190a4ef17a6d90a19d2 |
completed | April 18, 2026, 12:57 a.m. |
Created at: April 8, 2026, 9:23 p.m.