Triple
T14530381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joshua Ballinger Lippincott |
E340894
|
entity |
| Predicate | hasNamePart |
P5298
|
FINISHED |
| Object |
Ballinger
Ballinger is a surname most notably associated with American publisher Joshua Ballinger Lippincott.
|
E1104289
|
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: Ballinger | Statement: [Joshua Ballinger Lippincott, hasNamePart, Ballinger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ballinger Context triple: [Joshua Ballinger Lippincott, hasNamePart, Ballinger]
-
A.
Bonger
Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
-
B.
Speiser
Speiser is a German-language surname borne by various notable individuals, including mathematicians, artists, and public figures.
-
C.
Moxey
Moxey is a shy, hapless bricklayer and one of the central members of the group of British migrant workers in the comedy-drama series "Auf Wiedersehen, Pet."
-
D.
Laird
Laird is a given name of Scottish origin traditionally used as a masculine middle or first name, associated with landownership and nobility.
-
E.
Eaker
Eaker is a surname most notably associated with U.S. Army Air Forces General Ira C. Eaker, a key air power leader during World War II.
- 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: Ballinger Triple: [Joshua Ballinger Lippincott, hasNamePart, Ballinger]
Generated description
Ballinger is a surname most notably associated with American publisher Joshua Ballinger Lippincott.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ballinger Target entity description: Ballinger is a surname most notably associated with American publisher Joshua Ballinger Lippincott.
-
A.
Bonger
Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
-
B.
Speiser
Speiser is a German-language surname borne by various notable individuals, including mathematicians, artists, and public figures.
-
C.
Moxey
Moxey is a shy, hapless bricklayer and one of the central members of the group of British migrant workers in the comedy-drama series "Auf Wiedersehen, Pet."
-
D.
Laird
Laird is a given name of Scottish origin traditionally used as a masculine middle or first name, associated with landownership and nobility.
-
E.
Eaker
Eaker is a surname most notably associated with U.S. Army Air Forces General Ira C. Eaker, a key air power leader during World War II.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea052d01c81909c8592c351be6f35 |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a547c408190a1a19e12aac1d5bd |
completed | May 8, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_69fd7be2dc0c8190b8950a1f43ce13ab |
completed | May 8, 2026, 6 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7c6422e08190b149efdf58c3572a |
completed | May 8, 2026, 6:02 a.m. |
Created at: April 10, 2026, 1:22 a.m.