Triple

T14757795
Position Surface form Disambiguated ID Type / Status
Subject Herbert Ross E346774 entity
Predicate directed P7373 FINISHED
Object Undercover Blues
Undercover Blues is a 1993 action-comedy film about married ex-spies juggling parenthood and espionage during a vacation in New Orleans.
E1118490 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: Undercover Blues | Statement: [Herbert Ross, directed, Undercover Blues]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Undercover Blues
Context triple: [Herbert Ross, directed, Undercover Blues]
  • A. Undercover Agent for the Blues
    "Undercover Agent for the Blues" is a song by Tom Waits, known for its noirish, blues-infused style and vivid storytelling.
  • B. Undercovers
    Undercovers is an American action-spy television series created by J.J. Abrams that follows a married couple who are reactivated as CIA agents.
  • C. Undercover
    Undercover is a British television drama series that follows a lawyer uncovering shocking secrets about her husband and the justice system.
  • D. Undercover
    Undercover is a 1983 studio album by The Rolling Stones that blends rock with then-contemporary dance and new wave influences.
  • E. Undercover
    Undercover is a book by former CIA officer and Watergate conspirator E. Howard Hunt, detailing his experiences in espionage and covert operations.
  • 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: Undercover Blues
Triple: [Herbert Ross, directed, Undercover Blues]
Generated description
Undercover Blues is a 1993 action-comedy film about married ex-spies juggling parenthood and espionage during a vacation in New Orleans.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Undercover Blues
Target entity description: Undercover Blues is a 1993 action-comedy film about married ex-spies juggling parenthood and espionage during a vacation in New Orleans.
  • A. Undercover Agent for the Blues
    "Undercover Agent for the Blues" is a song by Tom Waits, known for its noirish, blues-infused style and vivid storytelling.
  • B. Undercovers
    Undercovers is an American action-spy television series created by J.J. Abrams that follows a married couple who are reactivated as CIA agents.
  • C. Undercover
    Undercover is a 1983 studio album by The Rolling Stones that blends rock with then-contemporary dance and new wave influences.
  • D. Undercover
    Undercover is a book by former CIA officer and Watergate conspirator E. Howard Hunt, detailing his experiences in espionage and covert operations.
  • E. Undercover
    Undercover is a British television drama series that follows a lawyer uncovering shocking secrets about her husband and the justice system.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f0f5a48190af008352c26574d7 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0ced0e2c8190a13e3b43e4d35560 completed May 8, 2026, 4:18 p.m.
NEDg Description generation batch_69fe15f78180819088c7be010ef27029 completed May 8, 2026, 4:57 p.m.
NED2 Entity disambiguation (via description) batch_69fe165c1f188190963f9b78272f41f7 completed May 8, 2026, 4:59 p.m.
Created at: April 10, 2026, 1:30 a.m.