Triple

T1429266
Position Surface form Disambiguated ID Type / Status
Subject Alfonso La Marmora E30406 entity
Predicate familyName P18 FINISHED
Object La Marmora
La Marmora is an Italian noble family historically prominent in politics and the military, particularly during the Risorgimento and the unification of Italy.
 E163295 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: La Marmora | Statement: [Alfonso La Marmora, familyName, La Marmora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Marmora
Context triple: [Alfonso La Marmora, familyName, La Marmora]
  • A. Savo
    Savo is a town in Kenya’s Central Province known as one of the region’s notable settlements.
  • B. Thalassa
    Thalassa is a small, inner irregularly shaped moon of Neptune that orbits close to the planet within its ring system.
  • C. Secunda
    Secunda is a South African industrial town in Mpumalanga province, best known for its large coal-to-liquid fuel and petrochemical operations centered around Sasol’s facilities.
  • D. Banastre
    Banastre is a given name most notably borne by Banastre Tarleton, a British cavalry officer and politician active during the American Revolutionary War.
  • E. Outremer
    Outremer was the collective name for the Crusader states established by Western European Christians in the Levant during the Middle Ages.
  • 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: La Marmora
Triple: [Alfonso La Marmora, familyName, La Marmora]
Generated description
La Marmora is an Italian noble family historically prominent in politics and the military, particularly during the Risorgimento and the unification of Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Marmora
Target entity description: La Marmora is an Italian noble family historically prominent in politics and the military, particularly during the Risorgimento and the unification of Italy.
  • A. Savo
    Savo is a town in Kenya’s Central Province known as one of the region’s notable settlements.
  • B. Thalassa
    Thalassa is a small, inner irregularly shaped moon of Neptune that orbits close to the planet within its ring system.
  • C. Secunda
    Secunda is a South African industrial town in Mpumalanga province, best known for its large coal-to-liquid fuel and petrochemical operations centered around Sasol’s facilities.
  • D. Banastre
    Banastre is a given name most notably borne by Banastre Tarleton, a British cavalry officer and politician active during the American Revolutionary War.
  • E. Outremer
    Outremer was the collective name for the Crusader states established by Western European Christians in the Levant during the Middle Ages.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4d9575881908bb58598e5a80590 completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad016930ec8190ab3900d6f40c4aa0 completed March 8, 2026, 4:56 a.m.
NEDg Description generation batch_69ad01d1c01c81908917c4837ed2b393 completed March 8, 2026, 4:57 a.m.
NED2 Entity disambiguation (via description) batch_69ad0265f610819085a2dd293abd4812 completed March 8, 2026, 5 a.m.
Created at: March 1, 2026, 8 p.m.