Triple
T9905880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GOOD Fridays series |
E185010
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Take One for the Team
"Take One for the Team" is a song released as part of Kanye West's GOOD Fridays music series.
|
E828401
|
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 One for the Team | Statement: [GOOD Fridays series, hasPart, Take One for the Team]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Take One for the Team Context triple: [GOOD Fridays series, hasPart, Take One for the Team]
-
A.
The B Team
The B Team is a global nonprofit initiative that brings together business and civil society leaders to promote responsible, sustainable, and inclusive business practices worldwide.
-
B.
Two Can Win
"Two Can Win" is a soulful, sample-driven hip-hop track by J Dilla from his acclaimed album "Donuts."
-
C.
America's Team
America's Team is a popular nickname for the Atlanta Braves, reflecting their widespread national fan base and prominence in Major League Baseball.
-
D.
America's Team
"America's Team" is the famous nickname of the Dallas Cowboys, reflecting their widespread national popularity and iconic status in the NFL.
-
E.
Take Two
"Take Two" is an American comedy-drama television series about a former actress who teams up with a private investigator to solve crimes.
- 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 One for the Team Triple: [GOOD Fridays series, hasPart, Take One for the Team]
Generated description
"Take One for the Team" is a song released as part of Kanye West's GOOD Fridays music series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Take One for the Team Target entity description: "Take One for the Team" is a song released as part of Kanye West's GOOD Fridays music series.
-
A.
The B Team
The B Team is a global nonprofit initiative that brings together business and civil society leaders to promote responsible, sustainable, and inclusive business practices worldwide.
-
B.
Two Can Win
"Two Can Win" is a soulful, sample-driven hip-hop track by J Dilla from his acclaimed album "Donuts."
-
C.
America's Team
America's Team is a popular nickname for the Atlanta Braves, reflecting their widespread national fan base and prominence in Major League Baseball.
-
D.
America's Team
"America's Team" is the famous nickname of the Dallas Cowboys, reflecting their widespread national popularity and iconic status in the NFL.
-
E.
Take Two
"Take Two" is an American comedy-drama television series about a former actress who teams up with a private investigator to solve crimes.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb50cf8808190a41e565216712704 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eb316a188190a1c7fbe0d1997cf5 |
completed | April 5, 2026, 4:55 a.m. |
| NEDg | Description generation | batch_69d1ed2864108190bbeb2e38ff733773 |
completed | April 5, 2026, 5:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1edcf68c48190ba548c19042323fd |
completed | April 5, 2026, 5:06 a.m. |
Created at: March 30, 2026, 8:40 p.m.