Triple

T19081456
Position Surface form Disambiguated ID Type / Status
Subject Omri E467041 entity
Predicate predecessor P97 FINISHED
Object Tibni
Tibni was a short-lived rival claimant to the throne of the northern Kingdom of Israel in the Hebrew Bible, who contested kingship against Omri.
E1356570 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: Tibni | Statement: [Omri, predecessor, Tibni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tibni
Context triple: [Omri, predecessor, Tibni]
  • A. Tibú
    Tibú is a Colombian town and municipality in the Norte de Santander Department, located near the border with Venezuela and known for its role in the oil industry and regional conflict dynamics.
  • B. Tibarg
    Tibarg is the central shopping and main thoroughfare of the Hamburg district Niendorf, known for its retail stores and local amenities.
  • C. Tendaba
    Tendaba is a small riverside village in The Gambia known as a key gateway and base for visiting Kiang West National Park and its surrounding wildlife areas.
  • D. Tawilis
    Tawilis is a small freshwater sardine species found only in the Philippines’ Taal Lake and is notable as the world’s only known freshwater sardine.
  • E. Tajuan
    Tajuan is the given first name of former NFL cornerback Ty Law.
  • 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: Tibni
Triple: [Omri, predecessor, Tibni]
Generated description
Tibni was a short-lived rival claimant to the throne of the northern Kingdom of Israel in the Hebrew Bible, who contested kingship against Omri.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tibni
Target entity description: Tibni was a short-lived rival claimant to the throne of the northern Kingdom of Israel in the Hebrew Bible, who contested kingship against Omri.
  • A. Tibú
    Tibú is a Colombian town and municipality in the Norte de Santander Department, located near the border with Venezuela and known for its role in the oil industry and regional conflict dynamics.
  • B. Tibarg
    Tibarg is the central shopping and main thoroughfare of the Hamburg district Niendorf, known for its retail stores and local amenities.
  • C. Tendaba
    Tendaba is a small riverside village in The Gambia known as a key gateway and base for visiting Kiang West National Park and its surrounding wildlife areas.
  • D. Tawilis
    Tawilis is a small freshwater sardine species found only in the Philippines’ Taal Lake and is notable as the world’s only known freshwater sardine.
  • E. Tajuan
    Tajuan is the given first name of former NFL cornerback Ty Law.
  • 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e2e9fccc819092c06c5da6f043ac completed April 20, 2026, 8:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05d3641f608190a8f849304e52f203 completed May 14, 2026, 1:51 p.m.
NEDg Description generation batch_6a05d421965c8190b6f44aa2c8df5150 completed May 14, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_6a05d49f62f881908ca289b644f29a53 completed May 14, 2026, 1:56 p.m.
Created at: April 10, 2026, 12:04 p.m.