Triple
T12501625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesse Hooker |
E298838
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Vanessa Hooker |
E298839
|
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 Hooker | Statement: [Jesse Hooker, sibling, Vanessa Hooker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanessa Hooker Context triple: [Jesse Hooker, sibling, Vanessa Hooker]
-
A.
Vanessa Hooker
chosen
Vanessa Hooker is the daughter of American singer and actress Lorna Luft, who is part of the famed Garland entertainment family.
-
B.
Vanessa Howard
Vanessa Howard was a British actress known for her roles in 1960s and 1970s horror and exploitation films, including "The Blood Beast Terror" and "Mumsy, Nanny, Sonny & Girly."
-
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 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.
-
E.
Vanessa Hill
Vanessa Hill is a science communicator and educator best known for creating the popular YouTube channel and PBS series BrainCraft, which explores psychology, neuroscience, and human behavior.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfbb2a48190a231b02cfa990565 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bb38e048190bbc96244b71953b6 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.