Triple
T8925799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utu |
E212535
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Sherida
Sherida is a Mesopotamian sun goddess, often associated with light and justice and known as the consort of the sun god Utu (Shamash).
|
E766749
|
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: Sherida | Statement: [Utu, spouse, Sherida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sherida Context triple: [Utu, spouse, Sherida]
-
A.
Celina
Celina is a rapidly growing suburban city in the northern part of the Dallas–Fort Worth metropolitan area in Texas.
-
B.
Shirland
Shirland is a village and civil parish in the district of North East Derbyshire in Derbyshire, England.
-
C.
Sheridan
Sheridan is a surname of Irish origin borne by numerous notable figures in politics, the military, arts, and entertainment.
-
D.
Sheridan
Sheridan is a residential neighbourhood in Mississauga, Ontario, known for its suburban character and proximity to major commercial and educational hubs.
-
E.
Bethany
Bethany is a village near Jerusalem mentioned in the New Testament, traditionally known as the home of Mary, Martha, and Lazarus and a frequent place visited by Jesus.
- 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: Sherida Triple: [Utu, spouse, Sherida]
Generated description
Sherida is a Mesopotamian sun goddess, often associated with light and justice and known as the consort of the sun god Utu (Shamash).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sherida Target entity description: Sherida is a Mesopotamian sun goddess, often associated with light and justice and known as the consort of the sun god Utu (Shamash).
-
A.
Celina
Celina is a rapidly growing suburban city in the northern part of the Dallas–Fort Worth metropolitan area in Texas.
-
B.
Shirland
Shirland is a village and civil parish in the district of North East Derbyshire in Derbyshire, England.
-
C.
Sheridan
Sheridan is a surname of Irish origin borne by numerous notable figures in politics, the military, arts, and entertainment.
-
D.
Sheridan
Sheridan is a residential neighbourhood in Mississauga, Ontario, known for its suburban character and proximity to major commercial and educational hubs.
-
E.
Bethany
Bethany is a village near Jerusalem mentioned in the New Testament, traditionally known as the home of Mary, Martha, and Lazarus and a frequent place visited by Jesus.
- 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_69ca839481d48190b42b037e0d0f636c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66700fb48190874563e535f20437 |
completed | April 1, 2026, 12:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba58e9ec81909141c516d05ac790 |
completed | April 3, 2026, 1:02 p.m. |
| NEDg | Description generation | batch_69cfbade9330819096d4b0eeacdad6da |
completed | April 3, 2026, 1:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfbec2b8888190a0390168fdcef05f |
completed | April 3, 2026, 1:21 p.m. |
Created at: March 30, 2026, 6:57 p.m.