Triple
T5042726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deadly Strangers |
E113582
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Belle Adams
Belle Adams is a character appearing in the British thriller film "Deadly Strangers."
|
E492425
|
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: Belle Adams | Statement: [Deadly Strangers, featuresCharacter, Belle Adams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belle Adams Context triple: [Deadly Strangers, featuresCharacter, Belle Adams]
-
A.
Josephine Hull
Josephine Hull was an American stage and film actress best known for her comedic character roles, including her Oscar-winning performance in "Harvey."
-
B.
Belle Williams
Belle Williams is the ambitious and fearless New York City cab driver portrayed by Queen Latifah in the 2004 action-comedy film "Taxi."
-
C.
Elizabeth Griscom
Elizabeth Griscom, better known as Betsy Ross, was an American upholsterer and seamstress traditionally credited with sewing the first flag of the United States.
-
D.
Anna Douglass
Anna Douglass was an African American abolitionist and the first wife of Frederick Douglass, who played a crucial role in his escape from slavery and supported his activism.
-
E.
Effie Perine
Effie Perine is Sam Spade’s loyal and efficient secretary in Dashiell Hammett’s classic detective novel "The Maltese Falcon."
- 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: Belle Adams Triple: [Deadly Strangers, featuresCharacter, Belle Adams]
Generated description
Belle Adams is a character appearing in the British thriller film "Deadly Strangers."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Belle Adams Target entity description: Belle Adams is a character appearing in the British thriller film "Deadly Strangers."
-
A.
Josephine Hull
Josephine Hull was an American stage and film actress best known for her comedic character roles, including her Oscar-winning performance in "Harvey."
-
B.
Belle Williams
Belle Williams is the ambitious and fearless New York City cab driver portrayed by Queen Latifah in the 2004 action-comedy film "Taxi."
-
C.
Elizabeth Griscom
Elizabeth Griscom, better known as Betsy Ross, was an American upholsterer and seamstress traditionally credited with sewing the first flag of the United States.
-
D.
Anna Douglass
Anna Douglass was an African American abolitionist and the first wife of Frederick Douglass, who played a crucial role in his escape from slavery and supported his activism.
-
E.
Effie Perine
Effie Perine is Sam Spade’s loyal and efficient secretary in Dashiell Hammett’s classic detective novel "The Maltese Falcon."
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73df8f7481909a8b86c4ae69aab9 |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb0f746788190bf73b8b5069e89cb |
completed | March 21, 2026, 2:53 p.m. |
| NEDg | Description generation | batch_69beb32f4364819081d47103fe97a5da |
completed | March 21, 2026, 3:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69beb39eebd881909618dd628d90f261 |
completed | March 21, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:37 p.m.