Triple
T5148747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Babadook |
E116138
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Barbara West
Barbara West is an actress known for her role in the acclaimed Australian psychological horror film "The Babadook."
|
E508472
|
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: Barbara West | Statement: [The Babadook, starring, Barbara West]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbara West Context triple: [The Babadook, starring, Barbara West]
-
A.
Melissa Manchester
Melissa Manchester is an American singer-songwriter and actress known for her emotive pop and adult contemporary hits, including classics like "Midnight Blue" and "Don't Cry Out Loud."
-
B.
Denise Ream
Denise Ream is a film producer known for her work on major animated features, including Pixar's "Elemental."
-
C.
Betty Wright
Betty Wright is the wife of former U.S. House Speaker Jim Wright and served as his partner and supporter throughout his long political career.
-
D.
Loni Anderson
Loni Anderson is an American actress best known for her role as Jennifer Marlowe on the television sitcom "WKRP in Cincinnati."
-
E.
Cyndi Grecco
Cyndi Grecco is an American singer best known for performing the upbeat 1970s television theme song "Making Our Dreams Come True" from the sitcom Laverne & Shirley.
- 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: Barbara West Triple: [The Babadook, starring, Barbara West]
Generated description
Barbara West is an actress known for her role in the acclaimed Australian psychological horror film "The Babadook."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barbara West Target entity description: Barbara West is an actress known for her role in the acclaimed Australian psychological horror film "The Babadook."
-
A.
Melissa Manchester
Melissa Manchester is an American singer-songwriter and actress known for her emotive pop and adult contemporary hits, including classics like "Midnight Blue" and "Don't Cry Out Loud."
-
B.
Denise Ream
Denise Ream is a film producer known for her work on major animated features, including Pixar's "Elemental."
-
C.
Betty Wright
Betty Wright is the wife of former U.S. House Speaker Jim Wright and served as his partner and supporter throughout his long political career.
-
D.
Loni Anderson
Loni Anderson is an American actress best known for her role as Jennifer Marlowe on the television sitcom "WKRP in Cincinnati."
-
E.
Cyndi Grecco
Cyndi Grecco is an American singer best known for performing the upbeat 1970s television theme song "Making Our Dreams Come True" from the sitcom Laverne & Shirley.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78b17028819080568715df8c13eb |
completed | March 20, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06a74d4c8190a353007c564ba2f6 |
completed | March 21, 2026, 8:59 p.m. |
| NEDg | Description generation | batch_69bf09c2c5148190bb6a4f15d476a5b6 |
completed | March 21, 2026, 9:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf0a1675b8819084024aa2a99ec843 |
completed | March 21, 2026, 9:13 p.m. |
Created at: March 20, 2026, 1:43 p.m.