Triple
T20877789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dick Lehr |
E514065
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Fence
"The Fence" is a nonfiction book by journalist Dick Lehr that investigates police brutality and systemic racism within the Boston Police Department.
|
E1454698
|
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: The Fence | Statement: [Dick Lehr, notableWork, The Fence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Fence Context triple: [Dick Lehr, notableWork, The Fence]
-
A.
The Fence
The Fence is a documentary film by Rory Kennedy that critically examines the impact and effectiveness of the U.S.–Mexico border fence.
-
B.
The Fenced Land
The Fenced Land is the Sindarin name for Doriath, the magically guarded woodland kingdom of Thingol and Melian in J.R.R. Tolkien’s legendarium.
-
C.
Der Lattenzaun
Der Lattenzaun is a famous humorous nonsense poem by Christian Morgenstern, featured in his collection "Galgenlieder."
-
D.
Off the Fence
Off the Fence is a documentary production company known for creating high-quality nature and factual programming, including the Oscar-winning film "My Octopus Teacher."
-
E.
The Ditch
The Ditch is a colloquial nickname for the Tasman Sea, the body of water separating Australia and New Zealand.
- 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: The Fence Triple: [Dick Lehr, notableWork, The Fence]
Generated description
"The Fence" is a nonfiction book by journalist Dick Lehr that investigates police brutality and systemic racism within the Boston Police Department.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Fence Target entity description: "The Fence" is a nonfiction book by journalist Dick Lehr that investigates police brutality and systemic racism within the Boston Police Department.
-
A.
The Fence
The Fence is a documentary film by Rory Kennedy that critically examines the impact and effectiveness of the U.S.–Mexico border fence.
-
B.
The Fenced Land
The Fenced Land is the Sindarin name for Doriath, the magically guarded woodland kingdom of Thingol and Melian in J.R.R. Tolkien’s legendarium.
-
C.
Der Lattenzaun
Der Lattenzaun is a famous humorous nonsense poem by Christian Morgenstern, featured in his collection "Galgenlieder."
-
D.
Off the Fence
Off the Fence is a documentary production company known for creating high-quality nature and factual programming, including the Oscar-winning film "My Octopus Teacher."
-
E.
The Ditch
The Ditch is a colloquial nickname for the Tasman Sea, the body of water separating Australia and New Zealand.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c6775f108190a79cd5e8c31cecf6 |
completed | April 21, 2026, 12:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0913a06c208190963a53d5ac5399c5 |
completed | May 17, 2026, 1:02 a.m. |
| NEDg | Description generation | batch_6a09140b17988190ab1e636b65b0e293 |
completed | May 17, 2026, 1:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09146d53248190a68602a0804afde7 |
completed | May 17, 2026, 1:05 a.m. |
Created at: April 16, 2026, 12:45 p.m.