Triple
T17886909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hourman |
E447221
|
entity |
| Predicate | family |
P566
|
FINISHED |
| Object | Rex Tyler |
—
|
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: Rex Tyler | Statement: [Hourman, family, Rex Tyler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rex Tyler Context triple: [Hourman, family, Rex Tyler]
-
A.
Rex Tyler
chosen
Rex Tyler is a Golden Age DC Comics superhero best known as Hourman, a chemist who gains superhuman abilities for one hour by using his Miraclo drug and serves as a key member of the Justice Society of America.
-
B.
Jed Tyler
Jed Tyler is a fictional character portrayed by actor Kerr Smith, best known for his work in American television dramas.
-
C.
Harry Tyler
Harry Tyler was a British character actor known for his numerous supporting roles in mid-20th-century films and television.
-
D.
Rex Griffin
Rex Griffin was an American country singer-songwriter of the 1930s and 1940s whose work, blending heartfelt lyrics with early honky-tonk sounds, influenced later rock and country artists.
-
E.
Richard Tyler
Richard Tyler is the young, fearful boy who becomes the adventurous protagonist of the fantasy film "The Pagemaster," learning courage through a magical journey inside the world of books.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c13bd288190a0302010ba4d0532 |
completed | April 19, 2026, 9:10 a.m. |
Created at: April 10, 2026, 10:18 a.m.