Triple
T23410526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grafh |
E560055
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Oracle
Oracle is a prominent work by the artist Grafh, showcasing his gritty lyricism and street-influenced hip-hop style.
|
E1586452
|
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: Oracle | Statement: [Grafh, notableWork, Oracle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oracle Context triple: [Grafh, notableWork, Oracle]
-
A.
Oracle
"Oracle" is a science fiction novel by British author Ian Watson, known for its imaginative exploration of advanced technology and human consciousness.
-
B.
Oracle
"Oracle" is a popular electronic dance music track by Australian DJ and producer Timmy Trumpet, known for its energetic festival sound and heavy drops.
-
C.
Oracle
Oracle is the codename of Barbara Gordon, a former Batgirl who becomes Batman’s expert hacker and information broker after being paralyzed by the Joker.
-
D.
Oracle
"Oracle" is a critically acclaimed acoustic guitar album by virtuoso musician Michael Hedges, showcasing his innovative fingerstyle technique and genre-blending compositions.
-
E.
Oracle Database
Oracle Database is a widely used enterprise relational database management system known for its scalability, reliability, and robust support for complex data workloads.
- 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: Oracle Triple: [Grafh, notableWork, Oracle]
Generated description
Oracle is a prominent work by the artist Grafh, showcasing his gritty lyricism and street-influenced hip-hop style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oracle Target entity description: Oracle is a prominent work by the artist Grafh, showcasing his gritty lyricism and street-influenced hip-hop style.
-
A.
Oracle
"Oracle" is a popular electronic dance music track by Australian DJ and producer Timmy Trumpet, known for its energetic festival sound and heavy drops.
-
B.
Oracle
Oracle is the codename of Barbara Gordon, a former Batgirl who becomes Batman’s expert hacker and information broker after being paralyzed by the Joker.
-
C.
Oracle
"Oracle" is a science fiction novel by British author Ian Watson, known for its imaginative exploration of advanced technology and human consciousness.
-
D.
Oracle
"Oracle" is a critically acclaimed acoustic guitar album by virtuoso musician Michael Hedges, showcasing his innovative fingerstyle technique and genre-blending compositions.
-
E.
Oracle Database
Oracle Database is a widely used enterprise relational database management system known for its scalability, reliability, and robust support for complex data workloads.
- 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a510b3848190ae42679ef0bcd424 |
completed | April 29, 2026, 6:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c679958f4819087da6c499161219a |
completed | May 19, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_6a0c7213e19881909151fe5c0560e096 |
completed | May 19, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c76ed37b08190af81b4ae2dc7c028 |
completed | May 19, 2026, 2:42 p.m. |
Created at: April 17, 2026, 5:38 p.m.