Triple
T15390763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betty Suarez |
E368036
|
entity |
| Predicate | closeColleague |
P11349
|
FINISHED |
| Object | Daniel Meade |
E1006458
|
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: Daniel Meade | Statement: [Betty Suarez, closeColleague, Daniel Meade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Meade Context triple: [Betty Suarez, closeColleague, Daniel Meade]
-
A.
Daniel Meade
chosen
Daniel Meade is a central character in the television series "Ugly Betty," portrayed as the often-insecure but well-meaning editor-in-chief of the fashion magazine MODE.
-
B.
Mitch McDeere
Mitch McDeere is an ambitious young Harvard-educated lawyer who becomes entangled in a corrupt law firm’s criminal activities in John Grisham’s legal thriller "The Firm."
-
C.
Jack Deerson
Jack Deerson is a cinematographer best known for his work on the 1971 road movie "Two-Lane Blacktop."
-
D.
Daniel Osbourne
Daniel Osbourne is a fictional character from the television series "Buffy the Vampire Slayer," known as the quiet, guitar-playing werewolf and love interest of Willow Rosenberg.
-
E.
Andrew Davenport
Andrew Davenport is a British television writer and producer best known for creating the preschool series "Teletubbies."
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e7727a081908eff45bbc1633c8a |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff134e37d881909f373b90a99fc067 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:19 a.m.