Triple
T8280366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forrest Church |
E193654
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Lifecraft
Lifecraft is a philosophical and spiritual book by Unitarian Universalist minister Forrest Church that explores how to live a meaningful, ethical, and fulfilling life.
|
E723262
|
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: Lifecraft | Statement: [Forrest Church, notableWork, Lifecraft]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lifecraft Context triple: [Forrest Church, notableWork, Lifecraft]
-
A.
Hospira
Hospira is a pharmaceutical and medical device company known for its injectable drugs, infusion technologies, and biosimilars, operating as a subsidiary of Pfizer.
-
B.
Gambro
Gambro is a Swedish medical technology company best known for developing dialysis equipment and therapies for patients with kidney failure.
-
C.
Baxter
Baxter is a surname and given name of English and Scottish origin, historically associated with the occupation of a baker.
-
D.
Baxter
Baxter is a small community or locality associated with the area of Essa, likely within the municipality of Essa in Ontario, Canada.
-
E.
Baxter
Baxter is Ron Burgundy’s beloved small dog and loyal sidekick in the comedy film "Anchorman: The Legend of Ron Burgundy."
- 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: Lifecraft Triple: [Forrest Church, notableWork, Lifecraft]
Generated description
Lifecraft is a philosophical and spiritual book by Unitarian Universalist minister Forrest Church that explores how to live a meaningful, ethical, and fulfilling life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lifecraft Target entity description: Lifecraft is a philosophical and spiritual book by Unitarian Universalist minister Forrest Church that explores how to live a meaningful, ethical, and fulfilling life.
-
A.
Hospira
Hospira is a pharmaceutical and medical device company known for its injectable drugs, infusion technologies, and biosimilars, operating as a subsidiary of Pfizer.
-
B.
Gambro
Gambro is a Swedish medical technology company best known for developing dialysis equipment and therapies for patients with kidney failure.
-
C.
Baxter
Baxter is a surname and given name of English and Scottish origin, historically associated with the occupation of a baker.
-
D.
Baxter
Baxter is a small community or locality associated with the area of Essa, likely within the municipality of Essa in Ontario, Canada.
-
E.
Baxter
Baxter is Ron Burgundy’s beloved small dog and loyal sidekick in the comedy film "Anchorman: The Legend of Ron Burgundy."
- 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_69ca82e217a48190880695635c44b2ed |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb79ee66e48190af7058b14f3daac9 |
completed | March 31, 2026, 7:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd686d9be081908b0490e708f51ad7 |
completed | April 1, 2026, 6:48 p.m. |
| NEDg | Description generation | batch_69cd6d5441248190a9e32281dc8e8d62 |
completed | April 1, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7e20f71c8190959319c6683a2810 |
completed | April 1, 2026, 8:20 p.m. |
Created at: March 30, 2026, 5:51 p.m.