Triple
T6893057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Briggs |
E159096
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Bad Apples
Bad Apples is a work created by Briggs, likely recognized as one of his significant creative or artistic contributions.
|
E627124
|
NE FINISHED |
How this triple was built (4 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: Bad Apples | Statement: [Briggs, notableWork, Bad Apples]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Apples Context triple: [Briggs, notableWork, Bad Apples]
-
A.
Bad Apples
"Bad Apples" is a hard rock song by Guns N' Roses from their 1991 album Use Your Illusion I.
-
B.
The Three Apples
The Three Apples is a murder-mystery tale from the medieval Arabic collection One Thousand and One Nights, notable for its early use of detective-story elements and intricate storytelling.
-
C.
Rotten Apple
"Rotten Apple" is a song featured on the album "Jar of Flies" by the American rock band Alice in Chains.
-
D.
The Laughing Apple
The Laughing Apple is a 1967 song by British singer-songwriter Cat Stevens, known for its whimsical, folk-pop style and reflective lyrics from his early career.
-
E.
Red Apple Falls
Red Apple Falls is a critically acclaimed 1997 indie rock/folk album by Bill Callahan’s project Smog, noted for its sparse arrangements and introspective songwriting.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bad Apples Triple: [Briggs, notableWork, Bad Apples]
Generated description
Bad Apples is a work created by Briggs, likely recognized as one of his significant creative or artistic contributions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bad Apples Target entity description: Bad Apples is a work created by Briggs, likely recognized as one of his significant creative or artistic contributions.
-
A.
Bad Apples
"Bad Apples" is a hard rock song by Guns N' Roses from their 1991 album Use Your Illusion I.
-
B.
The Three Apples
The Three Apples is a murder-mystery tale from the medieval Arabic collection One Thousand and One Nights, notable for its early use of detective-story elements and intricate storytelling.
-
C.
Rotten Apple
"Rotten Apple" is a song featured on the album "Jar of Flies" by the American rock band Alice in Chains.
-
D.
The Laughing Apple
The Laughing Apple is a 1967 song by British singer-songwriter Cat Stevens, known for its whimsical, folk-pop style and reflective lyrics from his early career.
-
E.
Red Apple Falls
Red Apple Falls is a critically acclaimed 1997 indie rock/folk album by Bill Callahan’s project Smog, noted for its sparse arrangements and introspective songwriting.
- F. None of above. chosen
Provenance (5 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d930ab548190953291d63cbc721b |
completed | March 27, 2026, 7:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748d625908190b3b1f7cfe6360016 |
completed | March 28, 2026, 3:19 a.m. |
| NEDg | Description generation | batch_69c749f7ab5c8190ab823fac27f7484d |
completed | March 28, 2026, 3:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c74a6f828c8190bf0cc56227b1a5b2 |
completed | March 28, 2026, 3:26 a.m. |
Created at: March 27, 2026, 2:24 p.m.