Triple
T15756989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anzia Yezierska |
E381992
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Anzia
Anzia is the given name of Anzia Yezierska, a Polish-American Jewish author known for her stories about immigrant life in New York City’s Lower East Side.
|
E1175032
|
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: Anzia | Statement: [Anzia Yezierska, givenName, Anzia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anzia Context triple: [Anzia Yezierska, givenName, Anzia]
-
A.
Antuni
Antuni is a small historic village in central Italy overlooking Lake Turano, known for its medieval architecture and scenic mountain-lake setting.
-
B.
Anezal
Anezal is a village located in the Jbel Sirwa mountain region of southern Morocco.
-
C.
Anazah
Anazah is a tribal Arab community historically associated with the Anizah confederation, known for its Bedouin heritage across the Arabian Peninsula and surrounding regions.
-
D.
Anozie
Anozie is the surname of British-Nigerian actor Nonso Anozie, known for his roles in film, television, and theatre.
-
E.
Zannanza
Zannanza was a Hittite prince, best known for his ill-fated journey to marry the Egyptian widow-queen that sparked a major diplomatic crisis between the Hittite and Egyptian empires.
- 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: Anzia Triple: [Anzia Yezierska, givenName, Anzia]
Generated description
Anzia is the given name of Anzia Yezierska, a Polish-American Jewish author known for her stories about immigrant life in New York City’s Lower East Side.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anzia Target entity description: Anzia is the given name of Anzia Yezierska, a Polish-American Jewish author known for her stories about immigrant life in New York City’s Lower East Side.
-
A.
Antuni
Antuni is a small historic village in central Italy overlooking Lake Turano, known for its medieval architecture and scenic mountain-lake setting.
-
B.
Anezal
Anezal is a village located in the Jbel Sirwa mountain region of southern Morocco.
-
C.
Anazah
Anazah is a tribal Arab community historically associated with the Anizah confederation, known for its Bedouin heritage across the Arabian Peninsula and surrounding regions.
-
D.
Anozie
Anozie is the surname of British-Nigerian actor Nonso Anozie, known for his roles in film, television, and theatre.
-
E.
Zannanza
Zannanza was a Hittite prince, best known for his ill-fated journey to marry the Egyptian widow-queen that sparked a major diplomatic crisis between the Hittite and Egyptian empires.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b1ff4881909d5240d1d30f5c8b |
completed | April 16, 2026, 3 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff877311dc8190b55fe7ca5c0843da |
completed | May 9, 2026, 7:13 p.m. |
| NEDg | Description generation | batch_69ff881731ac8190baa3cea2c9b7975b |
completed | May 9, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff88cfbe388190b20c426b4c745f92 |
completed | May 9, 2026, 7:19 p.m. |
Created at: April 10, 2026, 4:47 a.m.