Triple
T6657934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clint Howard |
E151394
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | EDtv |
E357003
|
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: EDtv | Statement: [Clint Howard, notableWork, EDtv]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EDtv Context triple: [Clint Howard, notableWork, EDtv]
-
A.
Edtv
chosen
Edtv is a 1999 American comedy film directed by Ron Howard about an ordinary man whose life is turned into a nonstop reality TV show.
-
B.
ES.TV
ES.TV is an entertainment-focused television network and media brand known for celebrity interviews, movie-related content, and pop culture programming.
-
C.
We TV
We TV is an American cable television network known for its reality programming focused on relationships, family life, and pop culture.
-
D.
CDTV
CDTV is a multimedia home entertainment and computing system developed by Commodore based on Amiga technology, combining a CD-ROM player with a personal computer.
-
E.
UNTV
UNTV is a Philippine television network known for its public service-oriented programming, news coverage, and religious content.
- 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_69c687f5fac48190a09e4838d9c6b45d |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b06f3da88190b17649f44ee93fd1 |
completed | March 27, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef028ccc8190a56395075c9aabf7 |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2:01 p.m.