Triple
T34276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitney Houston |
E681
|
entity |
| Predicate | awardReceived |
P11
|
FINISHED |
| Object | Emmy Award |
E1111
|
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: Emmy Award | Statement: [Whitney Houston, awardReceived, Emmy Award]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emmy Award Context triple: [Whitney Houston, awardReceived, Emmy Award]
-
A.
Emmy Award
chosen
The Emmy Award is a prestigious American television accolade recognizing excellence in various sectors of the television industry, including entertainment, news, and documentary programming.
-
B.
Academy Award
The Academy Award is a prestigious film industry honor presented annually by the Academy of Motion Picture Arts and Sciences to recognize excellence in cinematic achievements.
-
C.
Grammy Award
The Grammy Award is a prestigious music industry honor presented annually by the Recording Academy to recognize outstanding achievements in the recording arts.
-
D.
Tony Award
The Tony Award is a prestigious American honor recognizing excellence in live Broadway theatre.
-
E.
Peabody Award
The Peabody Award is a prestigious American honor recognizing excellence and integrity in broadcast and digital storytelling across radio, television, and online media.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a2487952bc8190a94ce39c70799c70 |
completed | Feb. 28, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a255307eac81908d0055775ef3c965 |
completed | Feb. 28, 2026, 2:38 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.