Triple

T14598767
Position Surface form Disambiguated ID Type / Status
Subject It Was Written E342645 entity
Predicate hasPart P35 FINISHED
Object Take It in Blood
"Take It in Blood" is a track by American rapper Nas from his acclaimed 1996 album *It Was Written*, noted for its introspective lyrics and smooth, atmospheric production.
 E1108653 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: Take It in Blood | Statement: [It Was Written, hasPart, Take It in Blood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Take It in Blood
Context triple: [It Was Written, hasPart, Take It in Blood]
  • A. Too Much Blood
    "Too Much Blood" is a song by the Rolling Stones, known for its experimental blend of rock with spoken-word storytelling and horror-themed lyrics.
  • B. I’m Blooded
    "I’m Blooded" is a track featured on the album "Dedication 2" by Lil Wayne and DJ Drama.
  • C. If You Want Blood (You’ve Got It)
    "If You Want Blood (You’ve Got It)" is a hard rock song by AC/DC, known for its high-energy performance and sharing its title with the band’s 1978 live album.
  • D. Take It So Hard
    "Take It So Hard" is a rock song by Keith Richards, best known as the lead single from his 1988 solo album "Talk Is Cheap."
  • E. Bleed for This
    Bleed for This is a 2016 biographical sports drama film about boxer Vinny Pazienza’s remarkable comeback after a near-fatal car accident.
  • 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: Take It in Blood
Triple: [It Was Written, hasPart, Take It in Blood]
Generated description
"Take It in Blood" is a track by American rapper Nas from his acclaimed 1996 album *It Was Written*, noted for its introspective lyrics and smooth, atmospheric production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Take It in Blood
Target entity description: "Take It in Blood" is a track by American rapper Nas from his acclaimed 1996 album *It Was Written*, noted for its introspective lyrics and smooth, atmospheric production.
  • A. Too Much Blood
    "Too Much Blood" is a song by the Rolling Stones, known for its experimental blend of rock with spoken-word storytelling and horror-themed lyrics.
  • B. I’m Blooded
    "I’m Blooded" is a track featured on the album "Dedication 2" by Lil Wayne and DJ Drama.
  • C. If You Want Blood (You’ve Got It)
    "If You Want Blood (You’ve Got It)" is a hard rock song by AC/DC, known for its high-energy performance and sharing its title with the band’s 1978 live album.
  • D. Take It So Hard
    "Take It So Hard" is a rock song by Keith Richards, best known as the lead single from his 1988 solo album "Talk Is Cheap."
  • E. Bleed for This
    Bleed for This is a 2016 biographical sports drama film about boxer Vinny Pazienza’s remarkable comeback after a near-fatal car accident.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb436d92881908fdf9267568feee2 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94ca0fec81908fb9c674f48a793b completed May 8, 2026, 7:46 a.m.
NEDg Description generation batch_69fd973985b881908f0c2fd201db8104 completed May 8, 2026, 7:56 a.m.
NED2 Entity disambiguation (via description) batch_69fd9843857c819089eb96564b8a9503 completed May 8, 2026, 8:01 a.m.
Created at: April 10, 2026, 1:25 a.m.