Triple
T15897689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric Esrailian |
E385503
|
entity |
| Predicate | producerOf |
P490
|
FINISHED |
| Object |
Foster Boy
Foster Boy is a legal drama film that follows a corporate lawyer forced to confront corruption and abuse within the for-profit foster care system.
|
E1183067
|
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: Foster Boy | Statement: [Eric Esrailian, producerOf, Foster Boy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foster Boy Context triple: [Eric Esrailian, producerOf, Foster Boy]
-
A.
Foster
Foster is a small rural town in western Rhode Island known for its forests, historic character, and low population density.
-
B.
Foster
Foster is a common English surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and academia.
-
C.
Boye
Boye is the surname of Karin Boye, a renowned Swedish poet and novelist known for her modernist works and the dystopian novel "Kallocain."
-
D.
Boys’ Ranch
Boys’ Ranch is a 1946 American family drama film about troubled boys finding discipline and purpose at a Texas ranch.
-
E.
Brother Boy
Brother Boy is a flamboyant, cross-dressing character from the dark comedy franchise "Sordid Lives," known for his over-the-top personality and cult-favorite status.
- 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: Foster Boy Triple: [Eric Esrailian, producerOf, Foster Boy]
Generated description
Foster Boy is a legal drama film that follows a corporate lawyer forced to confront corruption and abuse within the for-profit foster care system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Foster Boy Target entity description: Foster Boy is a legal drama film that follows a corporate lawyer forced to confront corruption and abuse within the for-profit foster care system.
-
A.
Foster
Foster is a small rural town in western Rhode Island known for its forests, historic character, and low population density.
-
B.
Foster
Foster is a common English surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and academia.
-
C.
Boye
Boye is the surname of Karin Boye, a renowned Swedish poet and novelist known for her modernist works and the dystopian novel "Kallocain."
-
D.
Boys’ Ranch
Boys’ Ranch is a 1946 American family drama film about troubled boys finding discipline and purpose at a Texas ranch.
-
E.
Brother Boy
Brother Boy is a flamboyant, cross-dressing character from the dark comedy franchise "Sordid Lives," known for his over-the-top personality and cult-favorite status.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563b0e4c8190b338672dfb122665 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb04d4d1c819091d9b3357ca0deca |
completed | May 9, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69ffb190ae4881909ac299dfa6e7d9b6 |
completed | May 9, 2026, 10:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb25747148190bc96cf19acf85e29 |
completed | May 9, 2026, 10:16 p.m. |
Created at: April 10, 2026, 4:51 a.m.