Triple
T2788498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorna Luft |
E61868
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Vanessa Hooker
Vanessa Hooker is the daughter of American singer and actress Lorna Luft, who is part of the famed Garland entertainment family.
|
E298839
|
NE FINISHED |
How this triple was built (4 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: [Lorna Luft, hasChild, Vanessa Hooker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanessa Hooker Context triple: [Lorna Luft, hasChild, Vanessa Hooker]
-
A.
Jocelyn Howard
Jocelyn Howard is an American television and film actress best known as the daughter of filmmaker and former child star Ron Howard.
-
B.
Larissa Weems
Larissa Weems is a character from the Netflix series "Wednesday," serving as the poised and enigmatic principal of Nevermore Academy.
-
C.
Vanessa Roth
Vanessa Roth is an Academy Award-winning American documentary filmmaker known for her socially conscious films and work in education and social justice.
-
D.
Nikki Butler
Nikki Butler is an American fashion designer best known for her long-term marriage to English actor Tim Roth.
-
E.
Jan Hooks
Jan Hooks was an American actress and comedian best known for her work as a cast member on "Saturday Night Live" in the late 1980s and early 1990s.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vanessa Hooker Triple: [Lorna Luft, hasChild, Vanessa Hooker]
Generated description
Vanessa Hooker is the daughter of American singer and actress Lorna Luft, who is part of the famed Garland entertainment family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vanessa Hooker Target entity description: Vanessa Hooker is the daughter of American singer and actress Lorna Luft, who is part of the famed Garland entertainment family.
-
A.
Jocelyn Howard
Jocelyn Howard is an American television and film actress best known as the daughter of filmmaker and former child star Ron Howard.
-
B.
Larissa Weems
Larissa Weems is a character from the Netflix series "Wednesday," serving as the poised and enigmatic principal of Nevermore Academy.
-
C.
Vanessa Roth
Vanessa Roth is an Academy Award-winning American documentary filmmaker known for her socially conscious films and work in education and social justice.
-
D.
Nikki Butler
Nikki Butler is an American fashion designer best known for her long-term marriage to English actor Tim Roth.
-
E.
Jan Hooks
Jan Hooks was an American actress and comedian best known for her work as a cast member on "Saturday Night Live" in the late 1980s and early 1990s.
- F. None of above. chosen
Provenance (5 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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddb3d63c8190b3ab5fa363c69db8 |
completed | March 7, 2026, 8:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc6589558819088442f09db328dac |
completed | March 10, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69afc6d485d88190b281abec460ff24d |
completed | March 10, 2026, 7:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc750fee08190bf3c112f6f204af4 |
completed | March 10, 2026, 7:25 a.m. |
Created at: March 6, 2026, 9:58 p.m.