Triple
T18336250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lou Ferrigno |
E439276
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lou Ferrigno |
—
|
NE NERFINISHED |
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: Lou Ferrigno | Statement: [Lou Ferrigno, name, Lou Ferrigno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lou Ferrigno Context triple: [Lou Ferrigno, name, Lou Ferrigno]
-
A.
Lou Ferrigno
chosen
Lou Ferrigno is an American bodybuilder and actor best known for winning multiple bodybuilding titles and starring as the Hulk in the 1970s television series "The Incredible Hulk."
-
B.
Raymond Wallace Bolger
Raymond Wallace Bolger was an American actor, singer, and dancer best known for his iconic role as the Scarecrow in the classic film "The Wizard of Oz."
-
C.
Lorin Latarro
Lorin Latarro is an American choreographer and director known for her work on numerous Broadway productions, including the hit musical "Waitress."
-
D.
Marty Piletti
Marty Piletti is the shy, kind-hearted Bronx butcher at the center of the 1955 film "Marty," whose search for love and self-worth drives the story.
-
E.
Artie Nielsen
Artie Nielsen is a central character in the science fiction TV series "Warehouse 13," serving as the gruff but caring senior agent who oversees the collection and protection of dangerous supernatural artifacts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ecd759481909703ed2d0d68199f |
completed | April 19, 2026, 5:20 p.m. |
Created at: April 10, 2026, 10:37 a.m.