Triple
T8501054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slouching Towards Bethlehem |
E201214
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
On Going Home
"On Going Home" is a reflective personal essay by Joan Didion in which she meditates on family, memory, and the meaning of home.
|
E739119
|
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: On Going Home | Statement: [Slouching Towards Bethlehem, hasPart, On Going Home]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: On Going Home Context triple: [Slouching Towards Bethlehem, hasPart, On Going Home]
-
A.
Like Home
"Like Home" is a progressive house track by Dutch DJ and producer Nicky Romero, known for its uplifting melody and festival-friendly energy.
-
B.
The Way Back Home
The Way Back Home is a drama film featuring actor Maxim Knight in its cast.
-
C.
I Want to Go Home
"I Want to Go Home" is a song by Lenny Kravitz from his 2008 studio album *It Is Time for a Love Revolution*.
-
D.
Welcome Home
"Welcome Home" is a 2018 psychological thriller film starring Aaron Paul and Emily Ratajkowski about a couple whose romantic getaway in an Italian countryside rental turns sinister.
-
E.
A Long Way from Home
A Long Way from Home is a memoir by American journalist Tom Brokaw reflecting on his Midwestern upbringing and the experiences that shaped his life and career.
- 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: On Going Home Triple: [Slouching Towards Bethlehem, hasPart, On Going Home]
Generated description
"On Going Home" is a reflective personal essay by Joan Didion in which she meditates on family, memory, and the meaning of home.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: On Going Home Target entity description: "On Going Home" is a reflective personal essay by Joan Didion in which she meditates on family, memory, and the meaning of home.
-
A.
Like Home
"Like Home" is a progressive house track by Dutch DJ and producer Nicky Romero, known for its uplifting melody and festival-friendly energy.
-
B.
The Way Back Home
The Way Back Home is a drama film featuring actor Maxim Knight in its cast.
-
C.
I Want to Go Home
"I Want to Go Home" is a song by Lenny Kravitz from his 2008 studio album *It Is Time for a Love Revolution*.
-
D.
Welcome Home
"Welcome Home" is a 2018 psychological thriller film starring Aaron Paul and Emily Ratajkowski about a couple whose romantic getaway in an Italian countryside rental turns sinister.
-
E.
A Long Way from Home
A Long Way from Home is a memoir by American journalist Tom Brokaw reflecting on his Midwestern upbringing and the experiences that shaped his life and career.
- 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5996ce88190956cb3f8d9ad3daf |
completed | March 31, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e1da7388190855ccd2e4292fd26 |
completed | April 2, 2026, 11:08 a.m. |
| NEDg | Description generation | batch_69ce4ff88ff48190a5641635187a9e4f |
completed | April 2, 2026, 11:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce50fd3150819097562093bee78a6d |
completed | April 2, 2026, 11:20 a.m. |
Created at: March 30, 2026, 6:14 p.m.