Triple

T11172794
Position Surface form Disambiguated ID Type / Status
Subject Shana Alexander E264326 entity
Predicate givenName P17 FINISHED
Object Shana
Shana is a feminine given name used in various cultures, often as a variant of Shanna or a modern form of the Hebrew name Shoshana.
 E909903 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: Shana | Statement: [Shana Alexander, givenName, Shana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shana
Context triple: [Shana Alexander, givenName, Shana]
  • A. Shira
    Shira is the eroded western volcanic cone and plateau of Mount Kilimanjaro, forming one of the mountain’s three main summits.
  • B. Shuah
    Shuah is a lesser-known son of the biblical patriarch Abraham, mentioned among the children he had with Keturah.
  • C. Dina
    Dina is a feminine given name used in various cultures, often as a variant of names like Dinah or Edina.
  • D. Dina
    Dina is a town in Pakistan’s Punjab province, located within the Jhelum District and known as a local commercial and transport hub.
  • E. Neuli
    Neuli is a small village located in the scenic Sainj Valley of Himachal Pradesh, India, known for its tranquil rural setting amid the Himalayas.
  • 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: Shana
Triple: [Shana Alexander, givenName, Shana]
Generated description
Shana is a feminine given name used in various cultures, often as a variant of Shanna or a modern form of the Hebrew name Shoshana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shana
Target entity description: Shana is a feminine given name used in various cultures, often as a variant of Shanna or a modern form of the Hebrew name Shoshana.
  • A. Shira
    Shira is the eroded western volcanic cone and plateau of Mount Kilimanjaro, forming one of the mountain’s three main summits.
  • B. Shuah
    Shuah is a lesser-known son of the biblical patriarch Abraham, mentioned among the children he had with Keturah.
  • C. Dina
    Dina is a feminine given name used in various cultures, often as a variant of names like Dinah or Edina.
  • D. Dina
    Dina is a town in Pakistan’s Punjab province, located within the Jhelum District and known as a local commercial and transport hub.
  • E. Neuli
    Neuli is a small village located in the scenic Sainj Valley of Himachal Pradesh, India, known for its tranquil rural setting amid the Himalayas.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e89660208190b1d9e91529f5d246 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483816af08190877f86ee52846581 completed April 19, 2026, 7:25 a.m.
NEDg Description generation batch_69e48715bd2081908774d325db2b6dd5 completed April 19, 2026, 7:41 a.m.
NED2 Entity disambiguation (via description) batch_69e4886c0da881909105b3a45e786ce9 completed April 19, 2026, 7:46 a.m.
Created at: April 8, 2026, 9:29 p.m.