Triple
T21733959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hip 2 Da Game |
E536474
|
entity |
| Predicate | chronologicallyPrecedes |
P11124
|
FINISHED |
| Object |
Actual Facts
"Actual Facts" is a hip-hop track by rapper Lord Finesse, known for its smooth lyricism and classic boom-bap production.
|
E1499517
|
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: Actual Facts | Statement: [Hip 2 Da Game, chronologicallyPrecedes, Actual Facts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Actual Facts Context triple: [Hip 2 Da Game, chronologicallyPrecedes, Actual Facts]
-
A.
Facts
"Facts" is a song by H.E.R. featured on her self-titled compilation album, showcasing her soulful R&B style and introspective lyricism.
-
B.
FACTS
FACTS is the commonly used acronym for the Finnish Academy of Technical Sciences, a learned society that promotes research and expertise in engineering and technology in Finland.
-
C.
Factual
Factual was a location data company known for providing global places and movement data used in advertising, mobile apps, and analytics.
-
D.
The Facts
The Facts is a regional newspaper serving Angleton and the surrounding Brazoria County area in Texas, providing local news, sports, and community coverage.
-
E.
FACT
FACT is the ICAO airport code assigned to Cape Town International Airport in South Africa.
- 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: Actual Facts Triple: [Hip 2 Da Game, chronologicallyPrecedes, Actual Facts]
Generated description
"Actual Facts" is a hip-hop track by rapper Lord Finesse, known for its smooth lyricism and classic boom-bap production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Actual Facts Target entity description: "Actual Facts" is a hip-hop track by rapper Lord Finesse, known for its smooth lyricism and classic boom-bap production.
-
A.
Facts
"Facts" is a song by H.E.R. featured on her self-titled compilation album, showcasing her soulful R&B style and introspective lyricism.
-
B.
FACTS
FACTS is the commonly used acronym for the Finnish Academy of Technical Sciences, a learned society that promotes research and expertise in engineering and technology in Finland.
-
C.
Factual
Factual was a location data company known for providing global places and movement data used in advertising, mobile apps, and analytics.
-
D.
The Facts
The Facts is a regional newspaper serving Angleton and the surrounding Brazoria County area in Texas, providing local news, sports, and community coverage.
-
E.
FACT
FACT is the ICAO airport code assigned to Cape Town International Airport in South Africa.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd09852c8190b3486c09f22ef92b |
completed | April 28, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a2ed049448190bb1f869ce91b35db |
completed | May 17, 2026, 9:10 p.m. |
| NEDg | Description generation | batch_6a0a2ffaaa708190b43531cbc6448b00 |
completed | May 17, 2026, 9:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a307b81288190a8254e32b36ed3f1 |
completed | May 17, 2026, 9:17 p.m. |
Created at: April 16, 2026, 6:48 p.m.