Triple
T21051300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Next of Kin |
E518588
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Andrew |
—
|
NE NERFINISHED |
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: Andrew | Statement: [Next of Kin, mainCharacter, Andrew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Context triple: [Next of Kin, mainCharacter, Andrew]
-
A.
Andrew
Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
-
B.
Andrew
Andrew is a central character in the Australian television drama series "The Newsreader," which follows the turbulent personal and professional lives of 1980s broadcast news staff.
-
C.
Andrew
Andrew is a central character portrayed as an exceptionally devoted and loving father in the film "World's Greatest Dad."
-
D.
Andrew
Andrew is a disciple figure who appears in early Christian writings, including non-canonical texts like the Gospel of Mary, where he participates in theological discussions and disputes.
-
E.
Andrew
Andrew is a subway station in South Boston on the Massachusetts Bay Transportation Authority's Red Line.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd7bd96c81909cb46419ad4e1222 |
completed | April 21, 2026, 4:30 a.m. |
Created at: April 16, 2026, 2:35 p.m.