Triple
T11682486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilene Chaiken |
E277651
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Chaiken
Chaiken is a surname most notably associated with Ilene Chaiken, an American television producer, writer, and creator of the groundbreaking series "The L Word."
|
E940677
|
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: Chaiken | Statement: [Ilene Chaiken, familyName, Chaiken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chaiken Context triple: [Ilene Chaiken, familyName, Chaiken]
-
A.
Shichahai
Shichahai is a historic scenic area in central Beijing known for its interconnected lakes, traditional hutong neighborhoods, and vibrant cultural and leisure activities.
-
B.
Chinnaru
Chinnaru is a minor tributary river that feeds into the Noyyal River in the Indian state of Tamil Nadu.
-
C.
Chōkai
Chōkai was a Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in World War II, including major Pacific naval battles.
-
D.
Takeno
Takeno was a former town in Hyōgo Prefecture, Japan, that became part of the expanded city of Toyooka following a municipal merger.
-
E.
Chikushino
Chikushino is a city in southwestern Japan known as a residential and commercial hub within the Fukuoka metropolitan area.
- 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: Chaiken Triple: [Ilene Chaiken, familyName, Chaiken]
Generated description
Chaiken is a surname most notably associated with Ilene Chaiken, an American television producer, writer, and creator of the groundbreaking series "The L Word."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chaiken Target entity description: Chaiken is a surname most notably associated with Ilene Chaiken, an American television producer, writer, and creator of the groundbreaking series "The L Word."
-
A.
Shichahai
Shichahai is a historic scenic area in central Beijing known for its interconnected lakes, traditional hutong neighborhoods, and vibrant cultural and leisure activities.
-
B.
Chinnaru
Chinnaru is a minor tributary river that feeds into the Noyyal River in the Indian state of Tamil Nadu.
-
C.
Chōkai
Chōkai was a Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in World War II, including major Pacific naval battles.
-
D.
Takeno
Takeno was a former town in Hyōgo Prefecture, Japan, that became part of the expanded city of Toyooka following a municipal merger.
-
E.
Chikushino
Chikushino is a city in southwestern Japan known as a residential and commercial hub within the Fukuoka metropolitan area.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a462bb2881909238107d34c0a28d |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef142269d08190a9e5cf8d6268168b |
completed | April 27, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69ef35527f908190b681afdae3aec319 |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef51ec07ec8190b5cd97cf909388f0 |
completed | April 27, 2026, 12:09 p.m. |
Created at: April 8, 2026, 9:40 p.m.