Triple
T8380819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liddell |
E197682
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Baird Liddell
Baird Liddell is an American jazz pianist and composer known for his contributions to modern jazz performance and recording.
|
E748237
|
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: Baird Liddell | Statement: [Liddell, hasNotableBearer, Baird Liddell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baird Liddell Context triple: [Liddell, hasNotableBearer, Baird Liddell]
-
A.
Francis Wallace Burns
Francis Wallace Burns was one of the sons of the famed Scottish poet Robert Burns, remembered primarily through his connection to his father's legacy.
-
B.
Baird Wallace
Baird Wallace was an American child actor best known for his role in the film "Tea with Mussolini."
-
C.
Gardner Campbell
Gardner Campbell is a prominent educator and advocate for digital learning and innovation in higher education.
-
D.
John L. Lumley
John L. Lumley was a prominent American fluid dynamicist known for his pioneering contributions to the understanding and modeling of turbulence.
-
E.
Charles Alling Gifford
Charles Alling Gifford was an American architect known for designing prominent early 20th-century resort hotels and other large-scale buildings in the United States.
- 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: Baird Liddell Triple: [Liddell, hasNotableBearer, Baird Liddell]
Generated description
Baird Liddell is an American jazz pianist and composer known for his contributions to modern jazz performance and recording.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baird Liddell Target entity description: Baird Liddell is an American jazz pianist and composer known for his contributions to modern jazz performance and recording.
-
A.
Francis Wallace Burns
Francis Wallace Burns was one of the sons of the famed Scottish poet Robert Burns, remembered primarily through his connection to his father's legacy.
-
B.
Baird Wallace
Baird Wallace was an American child actor best known for his role in the film "Tea with Mussolini."
-
C.
Gardner Campbell
Gardner Campbell is a prominent educator and advocate for digital learning and innovation in higher education.
-
D.
John L. Lumley
John L. Lumley was a prominent American fluid dynamicist known for his pioneering contributions to the understanding and modeling of turbulence.
-
E.
Charles Alling Gifford
Charles Alling Gifford was an American architect known for designing prominent early 20th-century resort hotels and other large-scale buildings in the United States.
- 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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80c57080819097eef2b7e46eaaee |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecc2b3890819091f8947ebf31bad0 |
completed | April 2, 2026, 8:06 p.m. |
| NEDg | Description generation | batch_69cece14193081909e7b36f5b5b7da40 |
completed | April 2, 2026, 8:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecee1db28819095f704b96b8c6d2a |
completed | April 2, 2026, 8:17 p.m. |
Created at: March 30, 2026, 6:02 p.m.