Triple
T16639447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R. City |
E404291
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Make Up |
E1213687
|
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: Make Up | Statement: [R. City, notableWork, Make Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Make Up Context triple: [R. City, notableWork, Make Up]
-
A.
Make Up
chosen
"Make Up" is a song by the Scottish rock band Snow Patrol, featured on their debut studio album "Songs for Polarbears."
-
B.
Make Up For Ever
Make Up For Ever is a professional cosmetics brand known for its high-performance makeup products widely used by makeup artists and beauty enthusiasts.
-
C.
Lipstick
Lipstick is a 1976 American thriller film known for its controversial depiction of sexual assault and revenge, starring Margaux Hemingway in her film debut.
-
D.
Lipstick
"Lipstick" is a pop-R&B song by British singer and television personality Alesha Dixon, released during her early solo career after Mis-Teeq.
-
E.
War Paint
War Paint is a Broadway musical that dramatizes the rivalry between cosmetics titans Helena Rubinstein and Elizabeth Arden in mid-20th-century America.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37acff38081908c8044936b794ce0 |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dc41638819090e967ade46d35a4 |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:18 a.m.