Triple
T7419405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Under Construction |
E171205
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | TLC |
E158835
|
NE FINISHED |
How this triple was built (2 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: TLC | Statement: [Under Construction, featuresArtist, TLC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TLC Context triple: [Under Construction, featuresArtist, TLC]
-
A.
TLC
chosen
TLC is a highly influential American R&B and hip-hop girl group known for hits like "Waterfalls," "No Scrubs," and "Creep," and for addressing social issues through their music.
-
B.
TLC
TLC is an American cable television network best known for its reality-based lifestyle, family, and personal-story programming.
-
C.
Dru Hill
Dru Hill is an American R&B group from Baltimore known for their smooth harmonies and late-1990s hits blending soulful ballads with hip-hop influences.
-
D.
ICE T
ICE T is a tilting high-speed train variant of Germany’s InterCityExpress fleet designed for faster travel on curving conventional lines.
-
E.
C+C Music Factory
C+C Music Factory was a popular early-1990s American dance and hip hop music group best known for chart-topping club hits like "Gonna Make You Sweat (Everybody Dance Now)."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2e93ffc8190beb5a1d3eb6c5d23 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ef30ee88190a484f4b735913676 |
completed | March 28, 2026, 6:33 p.m. |
Created at: March 27, 2026, 3:11 p.m.