Triple

T19584916
Position Surface form Disambiguated ID Type / Status
Subject Stadium Arcadium E490083 entity
Predicate includesTrack P3284 FINISHED
Object So Much I
"So Much I" is a song by the Red Hot Chili Peppers featured on their double album "Stadium Arcadium."
 E1385111 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: So Much I | Statement: [Stadium Arcadium, includesTrack, So Much I]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: So Much I
Context triple: [Stadium Arcadium, includesTrack, So Much I]
  • A. So Much Love
    "So Much Love" is a soul song written by Gerry Goffin (with Carole King) that has been widely covered by artists such as Ben E. King and Dusty Springfield.
  • B. So Much More
    "So Much More" is a track by American rapper Big Sean from his debut studio album "Finally Famous."
  • C. So Much in Love
    "So Much in Love" is a romantic R&B song best known as a hit single by the British boy band Take That.
  • D. So Much to Say
    So Much to Say is a Grammy-winning 1996 single by the Dave Matthews Band, known for its playful lyrics and prominent saxophone-driven groove.
  • E. So Much Better
    "So Much Better" is an upbeat, empowering musical number performed by Elle Woods as a climactic act-one finale in the Broadway adaptation of Legally Blonde.
  • 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: So Much I
Triple: [Stadium Arcadium, includesTrack, So Much I]
Generated description
"So Much I" is a song by the Red Hot Chili Peppers featured on their double album "Stadium Arcadium."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: So Much I
Target entity description: "So Much I" is a song by the Red Hot Chili Peppers featured on their double album "Stadium Arcadium."
  • A. So Much Love
    "So Much Love" is a soul song written by Gerry Goffin (with Carole King) that has been widely covered by artists such as Ben E. King and Dusty Springfield.
  • B. So Much More
    "So Much More" is a track by American rapper Big Sean from his debut studio album "Finally Famous."
  • C. So Much in Love
    "So Much in Love" is a romantic R&B song best known as a hit single by the British boy band Take That.
  • D. So Much to Say
    So Much to Say is a Grammy-winning 1996 single by the Dave Matthews Band, known for its playful lyrics and prominent saxophone-driven groove.
  • E. So Much Better
    "So Much Better" is an upbeat, empowering musical number performed by Elle Woods as a climactic act-one finale in the Broadway adaptation of Legally Blonde.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e64050127c8190b93b8716a1a4ad81 completed April 20, 2026, 3:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075f1122a08190961b2c0ae2e9f900 completed May 15, 2026, 5:59 p.m.
NEDg Description generation batch_6a075fed0ac4819088569b4854cf1ab9 completed May 15, 2026, 6:03 p.m.
NED2 Entity disambiguation (via description) batch_6a076070784c81908d28306344363c53 completed May 15, 2026, 6:05 p.m.
Created at: April 10, 2026, 1:42 p.m.