Triple
T14559055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | This Is Me... Then |
E341619
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Chinky |
E1062557
|
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: Chinky | Statement: [This Is Me... Then, featuresArtist, Chinky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chinky Context triple: [This Is Me... Then, featuresArtist, Chinky]
-
A.
Chinky
chosen
Chinky is a hip-hop artist known for collaborating with the rap group The Movement.
-
B.
Chiney
Chiney is a Nigerian-American professional basketball player and sports broadcaster best known for her WNBA career and work as an ESPN analyst.
-
C.
Jicky
Jicky is a pioneering late-19th-century Guerlain fragrance, often considered one of the first modern perfumes for its innovative use of synthetic notes and unisex appeal.
-
D.
Ninky Nonk
Ninky Nonk is a whimsical, train-like vehicle from the children's television series "In the Night Garden..." known for its quirky, ever-changing carriages and playful journeys.
-
E.
Inchy
Inchy is a small commune in northern France located within the administrative boundaries of the canton of Le Cateau-Cambrésis.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3881b788190922932fb8ff81160 |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ac003b08190923d469b3422cdab |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:23 a.m.