Triple
T10810089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burl Ives |
E255074
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Burl
Burl is the first name of Burl Ives, the American folk singer, actor, and narrator known for his warm voice and roles in films and holiday specials.
|
E887337
|
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: Burl | Statement: [Burl Ives, givenName, Burl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burl Context triple: [Burl Ives, givenName, Burl]
-
A.
How Wood
How Wood is a residential suburb and railway-served locality near St Albans in Hertfordshire, England.
-
B.
Chitwood
Chitwood was a pioneering nematologist best known for his foundational work in describing and classifying plant-parasitic nematodes.
-
C.
Buckman
Buckman is a historic, mixed-use neighborhood in inner southeast Portland, Oregon, known for its older residential streets, industrial areas, and vibrant local businesses.
-
D.
De Wood
De Wood is a specific variant or form of wood distinguished from the general category of wood materials.
-
E.
Bubley
Bubley is the surname of Esther Bubley, an influential American photographer known for her documentary work in the mid-20th century.
- 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: Burl Triple: [Burl Ives, givenName, Burl]
Generated description
Burl is the first name of Burl Ives, the American folk singer, actor, and narrator known for his warm voice and roles in films and holiday specials.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Burl Target entity description: Burl is the first name of Burl Ives, the American folk singer, actor, and narrator known for his warm voice and roles in films and holiday specials.
-
A.
How Wood
How Wood is a residential suburb and railway-served locality near St Albans in Hertfordshire, England.
-
B.
Chitwood
Chitwood was a pioneering nematologist best known for his foundational work in describing and classifying plant-parasitic nematodes.
-
C.
Buckman
Buckman is a historic, mixed-use neighborhood in inner southeast Portland, Oregon, known for its older residential streets, industrial areas, and vibrant local businesses.
-
D.
De Wood
De Wood is a specific variant or form of wood distinguished from the general category of wood materials.
-
E.
Bubley
Bubley is the surname of Esther Bubley, an influential American photographer known for her documentary work in the mid-20th century.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733b6efc48190bb64b5a8fac843c4 |
completed | April 9, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8526237881908dc3b25b16de7871 |
completed | April 14, 2026, 6:19 p.m. |
| NEDg | Description generation | batch_69de8954500c81909b57c4f8007959aa |
completed | April 14, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de8f38e3048190b1acc81bb56fe165 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 8, 2026, 9:18 p.m.