Triple

T8504241
Position Surface form Disambiguated ID Type / Status
Subject Lisa Gardner E201293 entity
Predicate hasWritten P2831 FINISHED
Object Right Behind You
Right Behind You is a psychological crime thriller novel by Lisa Gardner that follows FBI profilers as they confront a traumatized young girl and her violent past.
 E739280 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: Right Behind You | Statement: [Lisa Gardner, hasWritten, Right Behind You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Right Behind You
Context triple: [Lisa Gardner, hasWritten, Right Behind You]
  • A. There You'll Be
    "There You'll Be" is a power ballad by American country-pop singer Faith Hill, best known as the theme song from the 2001 film Pearl Harbor and one of her signature hits.
  • B. I'm Walking Behind You
    "I'm Walking Behind You" is a popular 1953 traditional pop song best known through Eddie Fisher's hit recording.
  • C. Watch Your Back
    "Watch Your Back" is a track by the hip hop group Harlem World from their sole studio album.
  • D. Back to You
    "Back to You" is an American sitcom that aired in the late 2000s, starring Kelsey Grammer and Patricia Heaton as reunited local news anchors.
  • E. Back to You
    "Back to You" is a song by American singer-songwriter John Mayer from his debut studio album "Room for Squares."
  • 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: Right Behind You
Triple: [Lisa Gardner, hasWritten, Right Behind You]
Generated description
Right Behind You is a psychological crime thriller novel by Lisa Gardner that follows FBI profilers as they confront a traumatized young girl and her violent past.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Right Behind You
Target entity description: Right Behind You is a psychological crime thriller novel by Lisa Gardner that follows FBI profilers as they confront a traumatized young girl and her violent past.
  • A. There You'll Be
    "There You'll Be" is a power ballad by American country-pop singer Faith Hill, best known as the theme song from the 2001 film Pearl Harbor and one of her signature hits.
  • B. I'm Walking Behind You
    "I'm Walking Behind You" is a popular 1953 traditional pop song best known through Eddie Fisher's hit recording.
  • C. Watch Your Back
    "Watch Your Back" is a track by the hip hop group Harlem World from their sole studio album.
  • D. Back to You
    "Back to You" is an American sitcom that aired in the late 2000s, starring Kelsey Grammer and Patricia Heaton as reunited local news anchors.
  • E. Back to You
    "Back to You" is a song by American singer-songwriter John Mayer from his debut studio album "Room for Squares."
  • 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_69ca831fe47c8190b5c57b456d2aefa0 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe59d67d081908155a43b9b463fe3 completed March 31, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e26a3108190a48b00c2927be971 completed April 2, 2026, 11:08 a.m.
NEDg Description generation batch_69ce4ff88ff48190a5641635187a9e4f completed April 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ce50fd3150819097562093bee78a6d completed April 2, 2026, 11:20 a.m.
Created at: March 30, 2026, 6:14 p.m.