Triple
T15368395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Your Eyes |
E367474
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Steve Howey |
E543348
|
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: Steve Howey | Statement: [In Your Eyes, castMember, Steve Howey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Howey Context triple: [In Your Eyes, castMember, Steve Howey]
-
A.
Steve Howey
chosen
Steve Howey is an American actor best known for his roles on the television series "Reba" and "Shameless."
-
B.
Ken Howery
Ken Howery is an American entrepreneur, venture capitalist, and co-founder of PayPal who later served as a partner at Founders Fund and as U.S. Ambassador to Sweden.
-
C.
Brian Howes
Brian Howes is a Canadian songwriter and record producer known for his work on rock and post-grunge hits, including co-writing Hinder’s breakout single "Lips of an Angel."
-
D.
Tim Howes
Tim Howes is an American computer scientist and entrepreneur best known as the co-inventor of the LDAP protocol and a co-founder of the cloud services company Loudcloud (later Opsware).
-
E.
Danny Howells
Danny Howells is a British DJ and electronic music producer known for his eclectic, progressive house and tech-house sets and long-standing presence in the global club scene.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4a7cdc8190b7b48c97e774c306 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b50703881909ca71c985bc1c7b5 |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.