Triple
T14001678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhea Perlman |
E336839
|
entity |
| Predicate | numberOfPrimetimeEmmyAwardsForCheers |
P112107
|
FINISHED |
| Object | 4 |
—
|
LITERAL 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: 4 | Statement: [Rhea Perlman, numberOfPrimetimeEmmyAwardsForCheers, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPrimetimeEmmyAwardsForCheers Context triple: [Rhea Perlman, numberOfPrimetimeEmmyAwardsForCheers, 4]
-
A.
numberOfPrimetimeEmmysForTheSopranos
Indicates the count of Primetime Emmy Awards that the TV series "The Sopranos" has received.
-
B.
numberOfPrimetimeEmmyAwardsForEntourage
Indicates the total count of Primetime Emmy Awards that the TV show "Entourage" has received.
-
C.
emmyAwardsCount
Indicates the number of Emmy Awards that an entity has received.
-
D.
numberOfEmmyNominations
Indicates the total count of Emmy Award nominations received by an entity.
-
E.
numberOfPrimetimeEmmyAwardsForGameOfThrones
Indicates the total count of Primetime Emmy Awards that the television series "Game of Thrones" has received.
- F. None of above. chosen
Provenance (4 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed06a50819093ddc64f55050689 |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
| PDg | Predicate description generation | batch_69de01ed2098819088ec45069f6f2609 |
completed | April 14, 2026, 8:59 a.m. |
Created at: April 9, 2026, 10:19 p.m.