Triple

T4489335
Position Surface form Disambiguated ID Type / Status
Subject Zev Siegl E107329 entity
Predicate givenName P17 FINISHED
Object Zev
Zev is a masculine given name of Hebrew origin, commonly interpreted to mean "wolf."
 E446955 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: Zev | Statement: [Zev Siegl, givenName, Zev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zev
Context triple: [Zev Siegl, givenName, Zev]
  • A. Zeke
    Zeke is a central male character in the romantic comedy film "Think Like a Man," known for navigating modern dating dynamics alongside a group of friends influenced by a relationship advice book.
  • B. Zeke
    Zeke is the Allied reporting name for the Mitsubishi A6M Zero, the famous Japanese carrier-based fighter aircraft used extensively during World War II.
  • C. Zeb
    Zeb is a central character in Margaret Atwood's dystopian novel "MaddAddam," known for his complex past and role in the post-apocalyptic narrative.
  • D. Zan
    Zan is a collective term for a group of closely related Kartvelian languages spoken primarily in western Georgia, including Mingrelian and Laz.
  • E. Zachi
    Zachi is a character in Montesquieu's epistolary novel "Persian Letters," which satirically explores French society and culture through the correspondence of Persian travelers.
  • 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: Zev
Triple: [Zev Siegl, givenName, Zev]
Generated description
Zev is a masculine given name of Hebrew origin, commonly interpreted to mean "wolf."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zev
Target entity description: Zev is a masculine given name of Hebrew origin, commonly interpreted to mean "wolf."
  • A. Zeke
    Zeke is a central male character in the romantic comedy film "Think Like a Man," known for navigating modern dating dynamics alongside a group of friends influenced by a relationship advice book.
  • B. Zeke
    Zeke is the Allied reporting name for the Mitsubishi A6M Zero, the famous Japanese carrier-based fighter aircraft used extensively during World War II.
  • C. Zeb
    Zeb is a central character in Margaret Atwood's dystopian novel "MaddAddam," known for his complex past and role in the post-apocalyptic narrative.
  • D. Zan
    Zan is a collective term for a group of closely related Kartvelian languages spoken primarily in western Georgia, including Mingrelian and Laz.
  • E. Zachi
    Zachi is a character in Montesquieu's epistolary novel "Persian Letters," which satirically explores French society and culture through the correspondence of Persian travelers.
  • 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_69bd43f84f788190a1383579c4a595be completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd52ad36748190b791de458f2116b2 completed March 20, 2026, 1:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd67a90f308190ab4f912cd1e2f692 completed March 20, 2026, 3:28 p.m.
NEDg Description generation batch_69bd68d76cfc819083071015add540dc completed March 20, 2026, 3:33 p.m.
NED2 Entity disambiguation (via description) batch_69bd698f0f148190ae3ad5193cba0851 completed March 20, 2026, 3:36 p.m.
Created at: March 20, 2026, 12:59 p.m.