Triple

T14404157
Position Surface form Disambiguated ID Type / Status
Subject Mary Tamm E357153 entity
Predicate familyName P18 FINISHED
Object Tamm
Tamm is a surname most notably associated with English actress Mary Tamm, known for her role as Romana in the long-running British science fiction series Doctor Who.
 E1097511 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: Tamm | Statement: [Mary Tamm, familyName, Tamm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tamm
Context triple: [Mary Tamm, familyName, Tamm]
  • A. Ninalla
    Ninalla was the wife of Gudea, the prominent ruler (ensi) of the Sumerian city-state of Lagash in the late 3rd millennium BCE.
  • B. Shana
    Shana is a feminine given name used in various cultures, often as a variant of Shanna or a modern form of the Hebrew name Shoshana.
  • C. Tammneeme
    Tammneeme is a coastal village in northern Estonia known for its seaside location on the Viimsi Peninsula near Tallinn.
  • D. Torday
    Torday is the surname of British novelist Paul Torday, best known for writing "Salmon Fishing in the Yemen."
  • E. Julanne
    Julanne is a feminine given name most notably borne by American silent film actress Julanne Johnston.
  • 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: Tamm
Triple: [Mary Tamm, familyName, Tamm]
Generated description
Tamm is a surname most notably associated with English actress Mary Tamm, known for her role as Romana in the long-running British science fiction series Doctor Who.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tamm
Target entity description: Tamm is a surname most notably associated with English actress Mary Tamm, known for her role as Romana in the long-running British science fiction series Doctor Who.
  • A. Ninalla
    Ninalla was the wife of Gudea, the prominent ruler (ensi) of the Sumerian city-state of Lagash in the late 3rd millennium BCE.
  • B. Shana
    Shana is a feminine given name used in various cultures, often as a variant of Shanna or a modern form of the Hebrew name Shoshana.
  • C. Tammneeme
    Tammneeme is a coastal village in northern Estonia known for its seaside location on the Viimsi Peninsula near Tallinn.
  • D. Torday
    Torday is the surname of British novelist Paul Torday, best known for writing "Salmon Fishing in the Yemen."
  • E. Julanne
    Julanne is a feminine given name most notably borne by American silent film actress Julanne Johnston.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90860ae481908e175decda8624d5 completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5523267081908d972b60b6039528 completed May 8, 2026, 3:14 a.m.
NEDg Description generation batch_69fd5671e4688190ab1b7a7ed6c0cfb8 completed May 8, 2026, 3:20 a.m.
NED2 Entity disambiguation (via description) batch_69fd57710f648190a1344ac1363acce1 completed May 8, 2026, 3:24 a.m.
Created at: April 10, 2026, 1:17 a.m.