Triple
T1243253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alice in Chains |
E26705
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sap
Sap is an acoustic EP by the American rock band Alice in Chains, known for its darker, introspective sound and guest vocal appearances.
|
E142466
|
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: Sap | Statement: [Alice in Chains, notableWork, Sap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sap Context triple: [Alice in Chains, notableWork, Sap]
-
A.
SAP
SAP is a leading global enterprise software company best known for its ERP solutions that help organizations manage business operations and customer relations.
-
B.
Sauer
Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
-
C.
Zenta
Zenta is a historic town in northern Serbia, best known as the site of a decisive 1697 battle between the Habsburg Monarchy and the Ottoman Empire.
-
D.
SAS
SAS is the School of Arts and Sciences at the University of Pennsylvania, encompassing the university’s core liberal arts and sciences departments and programs.
-
E.
SAS
SAS is a widely used statistical software suite for advanced analytics, business intelligence, data management, and predictive modeling.
- 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: Sap Triple: [Alice in Chains, notableWork, Sap]
Generated description
Sap is an acoustic EP by the American rock band Alice in Chains, known for its darker, introspective sound and guest vocal appearances.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sap Target entity description: Sap is an acoustic EP by the American rock band Alice in Chains, known for its darker, introspective sound and guest vocal appearances.
-
A.
SAP
SAP is a leading global enterprise software company best known for its ERP solutions that help organizations manage business operations and customer relations.
-
B.
Sauer
Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
-
C.
Zenta
Zenta is a historic town in northern Serbia, best known as the site of a decisive 1697 battle between the Habsburg Monarchy and the Ottoman Empire.
-
D.
SAS
SAS is the School of Arts and Sciences at the University of Pennsylvania, encompassing the university’s core liberal arts and sciences departments and programs.
-
E.
SAS
SAS is a high-speed, point-to-point serial interface standard commonly used to connect enterprise storage devices like hard drives and solid-state drives to servers.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf61fadc8190b7b9e23eaa15a61d |
completed | March 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f7bd6148190933210f66a8899ce |
completed | March 7, 2026, 8:50 p.m. |
| NEDg | Description generation | batch_69ac900a6c208190b3c76efcec1186ec |
completed | March 7, 2026, 8:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac9111e6288190b83074bd05e2f282 |
completed | March 7, 2026, 8:56 p.m. |
Created at: March 1, 2026, 7:47 p.m.