Triple

T4890511
Position Surface form Disambiguated ID Type / Status
Subject Gerrit Zalm E109547 entity
Predicate familyName P18 FINISHED
Object Zalm
Zalm is the surname of Gerrit Zalm, a prominent Dutch economist and former Minister of Finance.
 E476518 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: Zalm | Statement: [Gerrit Zalm, familyName, Zalm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zalm
Context triple: [Gerrit Zalm, familyName, Zalm]
  • A. Zemba
    Zemba is a Bantu language variety spoken primarily in southwestern Angola and northern Namibia, closely related to and often considered a dialect of Herero.
  • B. Zal
    Zal is a legendary white-haired hero and warrior from Persian mythology, best known as the father of the champion Rostam in Ferdowsi’s epic Shahnameh.
  • C. Jachim
    Jachim is a given name that serves as a variant form of Joachim, used in various European naming traditions.
  • D. Etzel
    Etzel was a Zionist paramilitary organization that operated in Mandatory Palestine before the establishment of the State of Israel.
  • E. Zurer
    Zurer is the surname of Ayelet Zurer, an Israeli actress known for her roles in international films and television series.
  • 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: Zalm
Triple: [Gerrit Zalm, familyName, Zalm]
Generated description
Zalm is the surname of Gerrit Zalm, a prominent Dutch economist and former Minister of Finance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zalm
Target entity description: Zalm is the surname of Gerrit Zalm, a prominent Dutch economist and former Minister of Finance.
  • A. Zemba
    Zemba is a Bantu language variety spoken primarily in southwestern Angola and northern Namibia, closely related to and often considered a dialect of Herero.
  • B. Zal
    Zal is a legendary white-haired hero and warrior from Persian mythology, best known as the father of the champion Rostam in Ferdowsi’s epic Shahnameh.
  • C. Jachim
    Jachim is a given name that serves as a variant form of Joachim, used in various European naming traditions.
  • D. Etzel
    Etzel was a Zionist paramilitary organization that operated in Mandatory Palestine before the establishment of the State of Israel.
  • E. Zurer
    Zurer is the surname of Ayelet Zurer, an Israeli actress known for her roles in international films and television series.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e07ca10819083f80f12374544b1 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be681a3d7881908120dc642af3f58a completed March 21, 2026, 9:42 a.m.
NEDg Description generation batch_69be6892c02481908dc64c7e84aac3b2 completed March 21, 2026, 9:44 a.m.
NED2 Entity disambiguation (via description) batch_69be695116788190903fbd5e375bd31d completed March 21, 2026, 9:48 a.m.
Created at: March 20, 2026, 1:28 p.m.