Triple
T17746510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elden Henson |
E443003
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Henson |
—
|
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: Henson | Statement: [Elden Henson, familyName, Henson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henson Context triple: [Elden Henson, familyName, Henson]
-
A.
Henson
chosen
Henson is a surname most prominently associated with American actress Taraji P. Henson, known for her acclaimed film and television roles.
-
B.
Grey Henson
Grey Henson is an American stage and television actor best known for originating the role of Damian Hubbard in the Broadway musical adaptation of "Mean Girls."
-
C.
Brian Henson
Brian Henson is an American puppeteer, director, producer, and chairman of The Jim Henson Company, known for his work on various Muppet and fantasy film projects.
-
D.
Jim Henson
Jim Henson was an American puppeteer, filmmaker, and creator of the Muppets, best known for his pioneering work on "The Muppet Show" and "Sesame Street."
-
E.
Jim Henson’s Creature Shop
Jim Henson’s Creature Shop is a renowned special effects and puppetry studio best known for creating innovative creatures and characters for films, television, and live entertainment.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47ad26940819090696c2cb86fd606 |
completed | April 19, 2026, 6:48 a.m. |
Created at: April 10, 2026, 10:09 a.m.