Triple

T13149999
Position Surface form Disambiguated ID Type / Status
Subject Azrieli Center E312438 entity
Predicate architect P184 FINISHED
Object Eli Attia
Eli Attia is an Israeli-American architect known for designing prominent modern buildings, including major commercial complexes in Tel Aviv.
E1023890 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: Eli Attia | Statement: [Azrieli Center, architect, Eli Attia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eli Attia
Context triple: [Azrieli Center, architect, Eli Attia]
  • A. Tom Erez
    Tom Erez is a researcher in machine learning and control, known for his work on deep reinforcement learning algorithms such as Deep Deterministic Policy Gradient (DDPG).
  • B. Ian Edelman
    Ian Edelman is a writer and producer best known for creating the animated musical television special "Entergalactic" in collaboration with Kid Cudi.
  • C. Avi Goldstein
    Avi Goldstein is an individual notable enough to be recognized as a prominent bearer of the surname Goldstein.
  • D. Lior Raz
    Lior Raz is an Israeli actor and screenwriter best known as the co-creator and star of the hit television series "Fauda."
  • E. Avi Kivity
    Avi Kivity is an Israeli software engineer best known as the original creator of the KVM virtualization infrastructure for the Linux kernel.
  • 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: Eli Attia
Triple: [Azrieli Center, architect, Eli Attia]
Generated description
Eli Attia is an Israeli-American architect known for designing prominent modern buildings, including major commercial complexes in Tel Aviv.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eli Attia
Target entity description: Eli Attia is an Israeli-American architect known for designing prominent modern buildings, including major commercial complexes in Tel Aviv.
  • A. Tom Erez
    Tom Erez is a researcher in machine learning and control, known for his work on deep reinforcement learning algorithms such as Deep Deterministic Policy Gradient (DDPG).
  • B. Ian Edelman
    Ian Edelman is a writer and producer best known for creating the animated musical television special "Entergalactic" in collaboration with Kid Cudi.
  • C. Avi Goldstein
    Avi Goldstein is an individual notable enough to be recognized as a prominent bearer of the surname Goldstein.
  • D. Lior Raz
    Lior Raz is an Israeli actor and screenwriter best known as the co-creator and star of the hit television series "Fauda."
  • E. Avi Kivity
    Avi Kivity is an Israeli software engineer best known as the original creator of the KVM virtualization infrastructure for the Linux kernel.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd1fc408190b4b5ca973bcee403 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaea3f888190b47ed7bf1c52e7e7 completed May 3, 2026, 6:27 a.m.
NEDg Description generation batch_69f6eedfd06c8190b6fe8055e54ca322 completed May 3, 2026, 6:44 a.m.
NED2 Entity disambiguation (via description) batch_69f6ef7479a881909abf6caa21bdcc86 completed May 3, 2026, 6:47 a.m.
Created at: April 9, 2026, 9:11 p.m.