Triple
T10739791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nothing Sacred |
E253290
|
entity |
| Predicate | leadCharacter |
P1668
|
FINISHED |
| Object |
Hazel Flagg
Hazel Flagg is the mischievous small-town woman who becomes a media sensation after faking a terminal illness in the classic screwball comedy film "Nothing Sacred."
|
E883275
|
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 Flagg | Statement: [Nothing Sacred, leadCharacter, Hazel Flagg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hazel Flagg Context triple: [Nothing Sacred, leadCharacter, Hazel Flagg]
-
A.
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.
-
B.
Hazel
Hazel is a feminine given name of English origin, derived from the hazel tree and often associated with nature and greenish-brown eye color.
-
C.
Hazel
Hazel is a simple, good-hearted drifter in John Steinbeck’s novel "Cannery Row," known for his loyalty, comic misunderstandings, and unexpected moments of insight.
-
D.
Hazel
"Hazel" is a song featured on Bob Dylan’s 1974 album Planet Waves.
-
E.
Hazel
Hazel is a classic American television sitcom from the 1960s centered on a witty live-in maid and the suburban family she works for.
- 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 Flagg Triple: [Nothing Sacred, leadCharacter, Hazel Flagg]
Generated description
Hazel Flagg is the mischievous small-town woman who becomes a media sensation after faking a terminal illness in the classic screwball comedy film "Nothing Sacred."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hazel Flagg Target entity description: Hazel Flagg is the mischievous small-town woman who becomes a media sensation after faking a terminal illness in the classic screwball comedy film "Nothing Sacred."
-
A.
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.
-
B.
Hazel
Hazel is a feminine given name of English origin, derived from the hazel tree and often associated with nature and greenish-brown eye color.
-
C.
Hazel
Hazel is a simple, good-hearted drifter in John Steinbeck’s novel "Cannery Row," known for his loyalty, comic misunderstandings, and unexpected moments of insight.
-
D.
Hazel
"Hazel" is a song featured on Bob Dylan’s 1974 album Planet Waves.
-
E.
Hazel
Hazel is a classic American television sitcom from the 1960s centered on a witty live-in maid and the suburban family she works for.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71043106c819091939950f532eda5 |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22ed6edc8190beb76bd2971c7cec |
completed | April 14, 2026, 11:20 a.m. |
| NEDg | Description generation | batch_69de25d50e40819089740d725c054321 |
completed | April 14, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de280e5a588190be23778041249456 |
completed | April 14, 2026, 11:42 a.m. |
Created at: April 8, 2026, 9:14 p.m.