Triple
T16012044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keith Powers |
E388360
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | What/If |
E905544
|
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: What/If | Statement: [Keith Powers, notableWork, What/If]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: What/If Context triple: [Keith Powers, notableWork, What/If]
-
A.
What/If
chosen
What/If is a neo-noir thriller anthology miniseries on Netflix that explores the consequences of morally ambiguous decisions through a high-stakes, twist-filled narrative.
-
B.
What If?
"What If?" is a song by the American rock band Creed, known for its heavy guitar riffs and introspective lyrics.
-
C.
What If?
"What If?" is a speculative storytelling concept or series that explores alternate outcomes and possibilities branching from key events in a narrative universe.
-
D.
What If?
What If? is Randall Munroe’s popular science blog (and later book) where he answers bizarre hypothetical questions using rigorous scientific reasoning and humor.
-
E.
What If
What If is a romantic comedy film best known for its witty exploration of friendship and love, starring Daniel Radcliffe and Mackenzie Davis.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18291e2b481909d13cb6057c76cee |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf267a9c81908f1fa1ad117c5e2c |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:55 a.m.