Triple
T12905962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katie Lee |
E308729
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Katie Lee |
E308729
|
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: Katie Lee | Statement: [Katie Lee, name, Katie Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katie Lee Context triple: [Katie Lee, name, Katie Lee]
-
A.
Katie Lee
chosen
Katie Lee is an American cookbook author, food critic, and television personality known for her culinary work and for having been married to musician Billy Joel.
-
B.
Reese Meredith
Reese Meredith was an 18th-century Philadelphia merchant and political figure connected to early American revolutionary circles.
-
C.
Cat Deeley
Cat Deeley is an English television presenter, actress, and former model best known for hosting shows such as "So You Think You Can Dance."
-
D.
Jillian Kugler
Jillian Kugler is a television producer best known for her executive production work on the series "Hand of God."
-
E.
Katie Lopez
Katie Lopez is a singer known for performing the song "Do You Want to Build a Snowman?" from Disney's animated film Frozen.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971831bd48190b0ecd13e7181bbc6 |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a565ce508190a73f33708e61dc7d |
completed | May 3, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:41 p.m.