Triple

T19172014
Position Surface form Disambiguated ID Type / Status
Subject Diarmaid Murtagh E469344 entity
Predicate notableWork P4 FINISHED
Object Troy: Fall of a City
Troy: Fall of a City is a historical drama television series that retells the mythic Trojan War and the love story of Paris and Helen.
E77827 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: Troy: Fall of a City | Statement: [Diarmaid Murtagh, notableWork, Troy: Fall of a City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Troy: Fall of a City
Context triple: [Diarmaid Murtagh, notableWork, Troy: Fall of a City]
  • A. Troy
    "Troy" is a powerful early single by Irish singer-songwriter Sinéad O’Connor, known for its intense emotional delivery and poetic lyrics.
  • B. Troy
    Troy is a small city in southeastern Alabama known for being the home of Troy University and its vibrant college-town atmosphere.
  • C. Troy
    Troy is a suburban city in Michigan known for its strong business community, shopping centers, and role as a key part of the Detroit metropolitan area.
  • D. Troy
    Troy is a 2004 epic historical war film loosely based on Homer's Iliad, depicting the legendary conflict between the Greeks and Trojans.
  • E. Troy
    Troy is the legendary ancient city in Asia Minor that was the focal point of the Trojan War in Greek and Roman mythology.
  • 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: Troy: Fall of a City
Triple: [Diarmaid Murtagh, notableWork, Troy: Fall of a City]
Generated description
Troy: Fall of a City is a historical drama television series that retells the mythic Trojan War and the love story of Paris and Helen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Troy: Fall of a City
Target entity description: Troy: Fall of a City is a historical drama television series that retells the mythic Trojan War and the love story of Paris and Helen.
  • A. Troy
    "Troy" is a powerful early single by Irish singer-songwriter Sinéad O’Connor, known for its intense emotional delivery and poetic lyrics.
  • B. Troy
    Troy is a small city in southeastern Alabama known for being the home of Troy University and its vibrant college-town atmosphere.
  • C. Troy chosen
    Troy is a 2004 epic historical war film loosely based on Homer's Iliad, depicting the legendary conflict between the Greeks and Trojans.
  • D. Troy
    Troy is the legendary ancient city in Asia Minor that was the focal point of the Trojan War in Greek and Roman mythology.
  • E. Troy
    Troy is a masculine given name of ancient origin, famously borne by former NFL quarterback Troy Aikman.
  • F. None of above.

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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f16481948190973067eb854da237 completed April 20, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0700d4669481908bc503d5d268ee2b completed May 15, 2026, 11:17 a.m.
NEDg Description generation batch_6a0701a602c88190bc06dc616f3be6f1 completed May 15, 2026, 11:21 a.m.
NED2 Entity disambiguation (via description) batch_6a07027372c88190b19ea77d9b610a56 completed May 15, 2026, 11:24 a.m.
Created at: April 10, 2026, 12:06 p.m.