Triple
T13065135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chrissy Metz |
E329301
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object | Kate Pearson |
E320187
|
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: Kate Pearson | Statement: [Chrissy Metz, notableRole, Kate Pearson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Pearson Context triple: [Chrissy Metz, notableRole, Kate Pearson]
-
A.
Kate Pearson
chosen
Kate Pearson is a central character in the television drama "This Is Us," known for her emotional journey dealing with family dynamics, body image, and personal growth.
-
B.
Mellie Logan
Mellie Logan is a sharp-witted, resourceful sister in the film "Logan Lucky," known for her crucial role in helping execute the heist.
-
C.
Cordelia Flyte
Cordelia Flyte is a devout, selfless younger daughter of the aristocratic Flyte family in Evelyn Waugh’s novel "Brideshead Revisited," embodying themes of faith, sacrifice, and quiet moral strength.
-
D.
Laura Lyons
Laura Lyons is the mother of American fashion model Lily Aldridge.
-
E.
Fortune Feimster
Fortune Feimster is an American stand-up comedian, writer, and actress known for her self-deprecating humor and roles in television and film comedies.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980eb81948190b27eb9ae19978079 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe630808190a9a3481127bbaa86 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:59 p.m.