Triple
T1832770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owen King |
E40995
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Joe Hill |
E37484
|
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: Joe Hill | Statement: [Owen King, sibling, Joe Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Hill Context triple: [Owen King, sibling, Joe Hill]
-
A.
Joe Hill
chosen
Joe Hill is an American author known for his horror and dark fantasy novels and comics, and is the son of writer Stephen King.
-
B.
Gary Dauberman
Gary Dauberman is an American screenwriter and director best known for his work on modern horror franchises, including several films in The Conjuring Universe and the adaptation of Stephen King’s It.
-
C.
Jed Harris
Jed Harris was a prominent American theatrical producer and director known for staging influential Broadway productions in the mid-20th century.
-
D.
Dan Jewett
Dan Jewett is an American science teacher known for his brief marriage to billionaire philanthropist and novelist MacKenzie Scott.
-
E.
Jeffrey Ford
Jeffrey Ford is a film editor known for his work on major blockbuster movies, including several entries in the Marvel Cinematic Universe.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb024287c8190b68aa070e556a381 |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf6f212c8190b0d182f8486d9e47 |
completed | March 8, 2026, 6:26 p.m. |
Created at: March 4, 2026, 7:33 p.m.