Triple
T5018630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Litchfield Penitentiary |
E112794
|
entity |
| Predicate | hasFictionalStaffMember |
P61558
|
FINISHED |
| Object |
Sam Healy
Sam Healy is a fictional prison counselor and correctional officer in the television series "Orange Is the New Black."
|
E502854
|
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: Sam Healy | Statement: [Litchfield Penitentiary, hasFictionalStaffMember, Sam Healy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Healy Context triple: [Litchfield Penitentiary, hasFictionalStaffMember, Sam Healy]
-
A.
Sam McCandlish
Sam McCandlish is a machine learning researcher known for his work on large-scale language models and contributions to influential AI research at OpenAI.
-
B.
Dan Janvey
Dan Janvey is an American film producer known for his work on acclaimed independent films, including the Academy Award–winning "Nomadland."
-
C.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
D.
Andrew Sarlo
Andrew Sarlo is a music producer known for his work with indie and alternative artists such as Big Thief and Bon Iver.
-
E.
Jack Leary
Jack Leary is the son of famed psychologist and LSD advocate Timothy Leary, known primarily for his connection to his father's countercultural legacy.
- 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: Sam Healy Triple: [Litchfield Penitentiary, hasFictionalStaffMember, Sam Healy]
Generated description
Sam Healy is a fictional prison counselor and correctional officer in the television series "Orange Is the New Black."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sam Healy Target entity description: Sam Healy is a fictional prison counselor and correctional officer in the television series "Orange Is the New Black."
-
A.
Sam McCandlish
Sam McCandlish is a machine learning researcher known for his work on large-scale language models and contributions to influential AI research at OpenAI.
-
B.
Dan Janvey
Dan Janvey is an American film producer known for his work on acclaimed independent films, including the Academy Award–winning "Nomadland."
-
C.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
D.
Andrew Sarlo
Andrew Sarlo is a music producer known for his work with indie and alternative artists such as Big Thief and Bon Iver.
-
E.
Jack Leary
Jack Leary is the son of famed psychologist and LSD advocate Timothy Leary, known primarily for his connection to his father's countercultural legacy.
- 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd77c9fc7c8190b165a5cfd5889ba8 |
completed | March 20, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beef92c2d88190b56dbb48f1f97151 |
completed | March 21, 2026, 7:20 p.m. |
| NEDg | Description generation | batch_69bef0761c208190bac06ff1f92c8224 |
completed | March 21, 2026, 7:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef14ca27c81909a5a44155c9ddaf9 |
completed | March 21, 2026, 7:28 p.m. |
Created at: March 20, 2026, 1:35 p.m.