Triple

T38434210
Position Surface form Disambiguated ID Type / Status
Subject Anizah E903890 entity
Predicate ancestor P5206 FINISHED
Object Anizz ibn Wa’il
Anizz ibn Wa’il is an early Arab tribal progenitor regarded as a key forefather of the Anizah tribe.
 E2282057 NE FINISHED

How this triple was built (2 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: Anizz ibn Wa’il | Statement: [Anizah, ancestor, Anizz ibn Wa’il]
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: Anizz ibn Wa’il
Triple: [Anizah, ancestor, Anizz ibn Wa’il]
Generated description
Anizz ibn Wa’il is an early Arab tribal progenitor regarded as a key forefather of the Anizah tribe.

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_69f76e6a2024819081aa04f4932f89d2 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fccdb271248190bf1a4cbaa98e669f completed May 7, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a420df64ebc8190a5fce4d636ce32ee completed June 29, 2026, 6:17 a.m.
NEDg Description generation batch_6a420fbed5908190805fd971f7d3f4e4 completed June 29, 2026, 6:25 a.m.
NED2 Entity disambiguation (via description) batch_6a42102a7ec48190aa501a5b0283bde8 completed June 29, 2026, 6:26 a.m.
Created at: May 3, 2026, 4:31 p.m.