Triple
T15414893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lil' Mo |
E369191
|
entity |
| Predicate | hasCollaboratedWith |
P8554
|
FINISHED |
| Object |
Next
Next is an American R&B group best known for their late-1990s and early-2000s hits like "Too Close" and "Wifey."
|
E1156139
|
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: Next | Statement: [Lil' Mo, hasCollaboratedWith, Next]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Next Context triple: [Lil' Mo, hasCollaboratedWith, Next]
-
A.
Next
Next is a major British multinational clothing, footwear, and home products retailer known for its extensive high-street and online presence.
-
B.
Next
"Next" is a song featured on The Weeknd's mixtape *Echoes of Silence*, known for its dark, atmospheric R&B style and introspective lyrics.
-
C.
Next
Next is a science fiction novel by Michael Crichton that explores the ethical, legal, and commercial implications of genetic engineering and biotechnology.
-
D.
Next
Next is a work by British author David Tattersall, recognized as one of his notable contributions to contemporary literature.
-
E.
NEXT
NEXT is a section of the Sundance Film Festival dedicated to innovative, low-budget, and forward-thinking independent films that often showcase emerging voices and experimental storytelling.
- 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: Next Triple: [Lil' Mo, hasCollaboratedWith, Next]
Generated description
Next is an American R&B group best known for their late-1990s and early-2000s hits like "Too Close" and "Wifey."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Next Target entity description: Next is an American R&B group best known for their late-1990s and early-2000s hits like "Too Close" and "Wifey."
-
A.
Next
Next is a major British multinational clothing, footwear, and home products retailer known for its extensive high-street and online presence.
-
B.
Next
Next is a work by British author David Tattersall, recognized as one of his notable contributions to contemporary literature.
-
C.
Next
Next is a science fiction novel by Michael Crichton that explores the ethical, legal, and commercial implications of genetic engineering and biotechnology.
-
D.
Next
"Next" is a song featured on The Weeknd's mixtape *Echoes of Silence*, known for its dark, atmospheric R&B style and introspective lyrics.
-
E.
NEXT
NEXT is a section of the Sundance Film Festival dedicated to innovative, low-budget, and forward-thinking independent films that often showcase emerging voices and experimental storytelling.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ea7561481909b04e613e2352f82 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a7722a08190af230ecafda30b18 |
completed | May 9, 2026, 11:28 a.m. |
| NEDg | Description generation | batch_69ff1b5a328c81909aaa74c6f002875c |
completed | May 9, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1bdb39b481908f0b1df595837bc4 |
completed | May 9, 2026, 11:34 a.m. |
Created at: April 10, 2026, 3:20 a.m.