Triple

T11376642
Position Surface form Disambiguated ID Type / Status
Subject Daniel J. Travanti E269485 entity
Predicate appearedIn P795 FINISHED
Object Eischied
Eischied is an American crime drama television series from the late 1970s that follows a tough but compassionate New York City police chief.
 E922140 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: Eischied | Statement: [Daniel J. Travanti, appearedIn, Eischied]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eischied
Context triple: [Daniel J. Travanti, appearedIn, Eischied]
  • A. Eitel
    Eitel is the introspective, spiritually searching protagonist of Norman Mailer’s novel "The Deer Park."
  • B. Thierstein
    Thierstein is a district in the canton of Solothurn in northwestern Switzerland, comprising several municipalities near the French border.
  • C. Flerzheim
    Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • D. Grüsch
    Grüsch is a Swiss municipality in the canton of Graubünden, situated in the alpine Prättigau valley and known as a gateway to nearby mountain and ski areas.
  • E. Siegl
    Siegl is the surname of Zev Siegl, an American entrepreneur best known as one of the co-founders of Starbucks.
  • 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: Eischied
Triple: [Daniel J. Travanti, appearedIn, Eischied]
Generated description
Eischied is an American crime drama television series from the late 1970s that follows a tough but compassionate New York City police chief.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eischied
Target entity description: Eischied is an American crime drama television series from the late 1970s that follows a tough but compassionate New York City police chief.
  • A. Eitel
    Eitel is the introspective, spiritually searching protagonist of Norman Mailer’s novel "The Deer Park."
  • B. Thierstein
    Thierstein is a district in the canton of Solothurn in northwestern Switzerland, comprising several municipalities near the French border.
  • C. Flerzheim
    Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • D. Grüsch
    Grüsch is a Swiss municipality in the canton of Graubünden, situated in the alpine Prättigau valley and known as a gateway to nearby mountain and ski areas.
  • E. Siegl
    Siegl is the surname of Zev Siegl, an American entrepreneur best known as one of the co-founders of Starbucks.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea8e6d44819095f949581421e98e completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e55697b2388190929d7e0b15d809ba completed April 19, 2026, 10:26 p.m.
NEDg Description generation batch_69e562c7de3c8190befb6d7131129a2c completed April 19, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69e56a776390819082d47ad00cf1862b completed April 19, 2026, 11:51 p.m.
Created at: April 8, 2026, 9:33 p.m.