Triple

T15847019
Position Surface form Disambiguated ID Type / Status
Subject Rabbenu Tam E384239 entity
Predicate givenName P17 FINISHED
Object Jacob
Jacob, known as Rabbenu Tam, was a prominent 12th-century French Tosafist and halakhic authority whose legal rulings and Talmudic commentaries greatly influenced Ashkenazic Jewish law.
E1179944 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: Jacob | Statement: [Rabbenu Tam, givenName, Jacob]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacob
Context triple: [Rabbenu Tam, givenName, Jacob]
  • A. Jacob
    Jacob is the full first name of Jack Lew, the American attorney and former U.S. Secretary of the Treasury.
  • B. Jacob
    Jacob is the birth name of legendary American comic book artist and writer Jack Kirby, a key creator of many iconic Marvel and DC superheroes.
  • C. Jacob
    Jacob is the middle name of Henry J. Friendly, a highly respected American federal appellate judge and legal scholar.
  • D. Jacob
    Jacob is a central character in Clifford Odets' play "Awake and Sing!", representing the older generation's ideals and struggles within a working-class Jewish family in the Bronx during the Great Depression.
  • E. Jacob
    Jacob is a character in the 2014 found-footage-style disaster film "Into the Storm," which follows a group of people facing a devastating tornado outbreak.
  • 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: Jacob
Triple: [Rabbenu Tam, givenName, Jacob]
Generated description
Jacob, known as Rabbenu Tam, was a prominent 12th-century French Tosafist and halakhic authority whose legal rulings and Talmudic commentaries greatly influenced Ashkenazic Jewish law.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jacob
Target entity description: Jacob, known as Rabbenu Tam, was a prominent 12th-century French Tosafist and halakhic authority whose legal rulings and Talmudic commentaries greatly influenced Ashkenazic Jewish law.
  • A. Jacob
    Jacob is a central patriarch in the Hebrew Bible, regarded in Judaism as the father of the twelve tribes of Israel.
  • B. Jacob
    Jacob is the middle name of Henry J. Friendly, a highly respected American federal appellate judge and legal scholar.
  • C. Jacob
    Jacob is a male given name of Hebrew origin commonly used in many English-speaking and international cultures.
  • D. Jacob
    Jacob is a common surname of Hebrew origin, widely used across many cultures and languages.
  • E. Jacob
    Jacob is the middle name of George Holyoake, a notable 19th-century English secularist and social reformer.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14ca7c8f08190abe21cbb0c390f95 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa143dcb48190951648edeae6542d completed May 9, 2026, 9:04 p.m.
NEDg Description generation batch_69ffa419c6dc81908c9678f8434530f8 completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa4cff5088190a7f11fd62941f4fb completed May 9, 2026, 9:19 p.m.
Created at: April 10, 2026, 4:50 a.m.