Triple
T14414147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Divergent |
E357404
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Vanessa Taylor |
E195697
|
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: Vanessa Taylor | Statement: [Divergent, screenwriter, Vanessa Taylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanessa Taylor Context triple: [Divergent, screenwriter, Vanessa Taylor]
-
A.
Vanessa Taylor
chosen
Vanessa Taylor is an American screenwriter and producer known for co-writing the Academy Award–winning film "The Shape of Water" and her work on television series such as "Game of Thrones."
-
B.
Vanessa Woods
Vanessa Woods is an Australian science writer and researcher known for her work on primate cognition and her popular science books about dogs, bonobos, and human evolution.
-
C.
Vanessa Brown
Vanessa Brown was an Austrian-born American actress known for her work in mid-20th-century Hollywood films, radio, and stage productions.
-
D.
Vanessa Reid
Vanessa Reid is known as the wife of Greg Page, the original lead singer of the Australian children's music group The Wiggles.
-
E.
Vanessa Haywood
Vanessa Haywood is a South African actress and model best known for her role in the science fiction film "District 9."
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cc99208190a2313b1acfb5d802 |
completed | April 14, 2026, 7:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd552a75ec8190b966d509d315ca60 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:17 a.m.