Triple
T23153340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | There’s Something in the Water |
E578375
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Julia Sanderson
Julia Sanderson is a film producer known for her work on the project "There’s Something in the Water."
|
E1587846
|
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: Julia Sanderson | Statement: [There’s Something in the Water, producer, Julia Sanderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julia Sanderson Context triple: [There’s Something in the Water, producer, Julia Sanderson]
-
A.
Julia Thornton
Julia Thornton is a musician known for her work as a performer on the album "Dylanesque."
-
B.
Julia Vaughan
Julia Vaughan is a fictional character appearing as the daughter of Clarissa Vaughan in Michael Cunningham’s novel "The Hours."
-
C.
Julia Biggs
Julia Biggs is the warm, devoted church wife and mother at the heart of the film "The Preacher's Wife," portrayed by Whitney Houston.
-
D.
Julia Biggs
Julia Biggs is known as the wife of Reverend Henry Biggs, a clergyman active in religious and community life.
-
E.
Julia Ashton
Julia Ashton is the central character in H.D.’s semi-autobiographical novel "Bid Me to Live," through whom the author explores themes of love, trauma, and artistic identity during and after World War I.
- 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: Julia Sanderson Triple: [There’s Something in the Water, producer, Julia Sanderson]
Generated description
Julia Sanderson is a film producer known for her work on the project "There’s Something in the Water."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Julia Sanderson Target entity description: Julia Sanderson is a film producer known for her work on the project "There’s Something in the Water."
-
A.
Julia Thornton
Julia Thornton is a musician known for her work as a performer on the album "Dylanesque."
-
B.
Julia Vaughan
Julia Vaughan is a fictional character appearing as the daughter of Clarissa Vaughan in Michael Cunningham’s novel "The Hours."
-
C.
Julia Biggs
Julia Biggs is the warm, devoted church wife and mother at the heart of the film "The Preacher's Wife," portrayed by Whitney Houston.
-
D.
Julia Biggs
Julia Biggs is known as the wife of Reverend Henry Biggs, a clergyman active in religious and community life.
-
E.
Julia Ashton
Julia Ashton is the central character in H.D.’s semi-autobiographical novel "Bid Me to Live," through whom the author explores themes of love, trauma, and artistic identity during and after World War I.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efaa1fc81908fb1987dbf732f46 |
completed | April 29, 2026, 4:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c8231170c8190897bf95df58e4d0b |
completed | May 19, 2026, 3:30 p.m. |
| NEDg | Description generation | batch_6a0ca6eda1f481908482f3a66d576c3c |
completed | May 19, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ca7bdf7f08190b50191b029480fc5 |
completed | May 19, 2026, 6:11 p.m. |
Created at: April 17, 2026, 4:01 p.m.