Triple

T987344
Position Surface form Disambiguated ID Type / Status
Subject Zellig Harris E21308 entity
Predicate givenName P17 FINISHED
Object Zellig
Zellig is a given name most notably borne by Zellig Harris, an influential American linguist known for his work in structural linguistics and discourse analysis.
 E116648 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: Zellig | Statement: [Zellig Harris, givenName, Zellig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zellig
Context triple: [Zellig Harris, givenName, Zellig]
  • A. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • B. Smidovich
    Smidovich is an urban-type settlement in Russia’s Jewish Autonomous Oblast, serving as a local administrative and population center in the region.
  • 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. Martz
    Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
  • E. Shimon
    Shimon is a given name most notably borne by Shimon Peres, the former President and Prime Minister of Israel and Nobel Peace Prize laureate.
  • 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: Zellig
Triple: [Zellig Harris, givenName, Zellig]
Generated description
Zellig is a given name most notably borne by Zellig Harris, an influential American linguist known for his work in structural linguistics and discourse analysis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zellig
Target entity description: Zellig is a given name most notably borne by Zellig Harris, an influential American linguist known for his work in structural linguistics and discourse analysis.
  • A. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • B. Smidovich
    Smidovich is an urban-type settlement in Russia’s Jewish Autonomous Oblast, serving as a local administrative and population center in the region.
  • 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. Martz
    Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
  • E. Shimon
    Shimon is a given name most notably borne by Shimon Peres, the former President and Prime Minister of Israel and Nobel Peace Prize laureate.
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4a7754c8190a10ba0587bd8323d completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1ce5c0d48190ab023cec30b2c25a completed March 7, 2026, 12:41 p.m.
NEDg Description generation batch_69ac20a7f47c8190b765cde3c6fbe1f8 completed March 7, 2026, 12:57 p.m.
NED2 Entity disambiguation (via description) batch_69ac21640a8c8190820a1b34a7d5c895 completed March 7, 2026, 1 p.m.
Created at: March 1, 2026, 7:41 p.m.