Triple
T6621181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lon Chaney |
E149675
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Hazel Hastings
Hazel Hastings was the wife of legendary silent film actor Lon Chaney and a figure associated with his early personal and professional life.
|
E601208
|
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: Hazel Hastings | Statement: [Lon Chaney, spouse, Hazel Hastings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hazel Hastings Context triple: [Lon Chaney, spouse, Hazel Hastings]
-
A.
Hazel Jenkins
Hazel Jenkins is a South African politician who served as Premier of the Northern Cape province.
-
B.
Hazel Tyler
Hazel Tyler is the mother of Vince Tyler, a character in the British television series "Queer as Folk."
-
C.
Hazel Bennet
Hazel Bennet was the wife of American film director and actor Lloyd Bacon, associated with Hollywood’s early studio era.
-
D.
Jane Hopper
Jane Hopper is the birth name and legal identity of Eleven, the telekinetic girl central to the Netflix series "Stranger Things."
-
E.
Daisy Werthan
Daisy Werthan is an elderly, sharp-tongued Jewish widow from Atlanta whose evolving relationship with her Black chauffeur forms the emotional core of the play and film "Driving Miss Daisy."
- 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: Hazel Hastings Triple: [Lon Chaney, spouse, Hazel Hastings]
Generated description
Hazel Hastings was the wife of legendary silent film actor Lon Chaney and a figure associated with his early personal and professional life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hazel Hastings Target entity description: Hazel Hastings was the wife of legendary silent film actor Lon Chaney and a figure associated with his early personal and professional life.
-
A.
Hazel Jenkins
Hazel Jenkins is a South African politician who served as Premier of the Northern Cape province.
-
B.
Hazel Tyler
Hazel Tyler is the mother of Vince Tyler, a character in the British television series "Queer as Folk."
-
C.
Hazel Bennet
Hazel Bennet was the wife of American film director and actor Lloyd Bacon, associated with Hollywood’s early studio era.
-
D.
Jane Hopper
Jane Hopper is the birth name and legal identity of Eleven, the telekinetic girl central to the Netflix series "Stranger Things."
-
E.
Daisy Werthan
Daisy Werthan is an elderly, sharp-tongued Jewish widow from Atlanta whose evolving relationship with her Black chauffeur forms the emotional core of the play and film "Driving Miss Daisy."
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af7aff44819089da6145e1ef5f76 |
completed | March 27, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbe2bcfc8190a3224c688443edc9 |
completed | March 27, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69c6cd89b51c81909ea17d391732630e |
completed | March 27, 2026, 6:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6ce70442c8190a12a6c6eb76c5269 |
completed | March 27, 2026, 6:37 p.m. |
Created at: March 27, 2026, 1:58 p.m.