Triple
T13245423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerry Fuller |
E315388
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Show and Tell |
E1028297
|
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: Show and Tell | Statement: [Jerry Fuller, notableWork, Show and Tell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Show and Tell Context triple: [Jerry Fuller, notableWork, Show and Tell]
-
A.
Show and Tell
Show and Tell is a neural network-based image captioning model developed by Google that automatically generates natural language descriptions for images.
-
B.
Show and Tell
chosen
"Show and Tell" is a 1972 soul-pop ballad best known as a hit single for singer Al Wilson, often regarded as one of the classic love songs of the era.
-
C.
Show, Attend and Tell
Show, Attend and Tell is a neural image captioning model that introduced visual attention mechanisms to dynamically focus on different parts of an image while generating descriptive text.
-
D.
Will This Make Me Good
Will This Make Me Good is a 2020 studio album by American singer-songwriter Nick Hakim, known for its hazy, experimental soul sound and introspective themes.
-
E.
Stories That Matter
Stories That Matter is the guiding motto of the Peabody Awards, emphasizing their focus on honoring impactful and socially significant storytelling in 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5b06148190a44e698bbe5cd529 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716c6797c819090bfcc9a5b62ac1c |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:23 p.m.