Triple

T4005365
Position Surface form Disambiguated ID Type / Status
Subject Ayelet Zurer E89512 entity
Predicate notableWork P4 FINISHED
Object BeTipul
BeTipul is an acclaimed Israeli psychological drama television series that follows the intense, therapy-room conversations between a psychologist and his patients.
 E407477 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: BeTipul | Statement: [Ayelet Zurer, notableWork, BeTipul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BeTipul
Context triple: [Ayelet Zurer, notableWork, BeTipul]
  • A. Potiskum
    Potiskum is a major commercial and population center in northeastern Nigeria, known especially for its bustling markets and strategic location in Yobe State.
  • B. Tikun
    Tikun is a central Kabbalistic concept referring to the spiritual rectification and restoration of cosmic and personal harmony.
  • C. Taslḥit
    Taslḥit is a variety of the Amazigh (Berber) language spoken primarily in southwestern Morocco.
  • D. Shitta
    Shitta is a well-known residential and commercial neighborhood located within the Surulere area of Lagos, Nigeria.
  • E. Zebidah
    Zebidah is a woman mentioned in the Hebrew Bible as the mother of King Jehoiakim of Judah.
  • 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: BeTipul
Triple: [Ayelet Zurer, notableWork, BeTipul]
Generated description
BeTipul is an acclaimed Israeli psychological drama television series that follows the intense, therapy-room conversations between a psychologist and his patients.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BeTipul
Target entity description: BeTipul is an acclaimed Israeli psychological drama television series that follows the intense, therapy-room conversations between a psychologist and his patients.
  • A. Potiskum
    Potiskum is a major commercial and population center in northeastern Nigeria, known especially for its bustling markets and strategic location in Yobe State.
  • B. Tikun
    Tikun is a central Kabbalistic concept referring to the spiritual rectification and restoration of cosmic and personal harmony.
  • C. Taslḥit
    Taslḥit is a variety of the Amazigh (Berber) language spoken primarily in southwestern Morocco.
  • D. Shitta
    Shitta is a well-known residential and commercial neighborhood located within the Surulere area of Lagos, Nigeria.
  • E. Zebidah
    Zebidah is a woman mentioned in the Hebrew Bible as the mother of King Jehoiakim of Judah.
  • 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_69aed9585e788190bec2d39deba3750f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa5f7b308190adaad864eec98936 completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c648d3c8190a85e5cdfb20f6044 completed March 14, 2026, 11:54 a.m.
NEDg Description generation batch_69b54cf3da208190aa844c9ea66354fe completed March 14, 2026, 11:56 a.m.
NED2 Entity disambiguation (via description) batch_69b55159dc288190a63d5f5164b73bbb completed March 14, 2026, 12:15 p.m.
Created at: March 9, 2026, 3:34 p.m.