Triple
T18686808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clyde Phillips |
E456887
|
entity |
| Predicate | workOn |
P30363
|
FINISHED |
| Object | Get Real |
—
|
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: Get Real | Statement: [Clyde Phillips, workOn, Get Real]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Get Real Context triple: [Clyde Phillips, workOn, Get Real]
-
A.
Get Real
chosen
Get Real is an American television drama series created by Clyde Phillips that follows the everyday struggles of a suburban family.
-
B.
Getting Real
"Getting Real" is a memoir by American journalist and former Fox News anchor Gretchen Carlson, in which she recounts her career in broadcast news and her experiences confronting sexism and harassment in the media industry.
-
C.
Getting Real
Getting Real is a concise business and software development book by 37signals that advocates building simple, agile web applications by focusing on essentials and shipping quickly.
-
D.
About to Get Real
About to Get Real is a country music album by American singer Craig Morgan.
-
E.
Keep It Real
"Keep It Real" is a hip-hop track by New Orleans rapper B.G., known for its gritty street narratives and Southern rap sound.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2d9a24819098c8e963ee430437 |
completed | April 19, 2026, 10:46 p.m. |
Created at: April 10, 2026, 11:49 a.m.