Triple
T16011789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prophet |
E388352
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object |
Laurence Barnes
Laurence Barnes is a religious figure known as the Prophet, regarded by followers as a divinely inspired messenger.
|
E1189428
|
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: Laurence Barnes | Statement: [Prophet, fullName, Laurence Barnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurence Barnes Context triple: [Prophet, fullName, Laurence Barnes]
-
A.
Laurence Boone
Laurence Boone is a French economist and diplomat who serves as France’s ambassador to the United States.
-
B.
Laurence Sharp
Laurence Sharp is an individual notable enough to be recognized as a bearer of the surname Sharp, though specific widely known public details about him are not readily available.
-
C.
Laurence Vail
Laurence Vail was an American writer and sculptor associated with the early 20th-century avant-garde and expatriate literary circles in Europe.
-
D.
Lawrence Lacks
Lawrence Lacks is the eldest son of Henrietta Lacks, whose immortal HeLa cells became foundational to modern biomedical research.
-
E.
Laurence Laurentz
Laurence Laurentz is a fussy, highbrow British film director in the Coen brothers’ movie "Hail, Caesar!" known for his exasperated attempts to work with a miscast cowboy star.
- 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: Laurence Barnes Triple: [Prophet, fullName, Laurence Barnes]
Generated description
Laurence Barnes is a religious figure known as the Prophet, regarded by followers as a divinely inspired messenger.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laurence Barnes Target entity description: Laurence Barnes is a religious figure known as the Prophet, regarded by followers as a divinely inspired messenger.
-
A.
Laurence Boone
Laurence Boone is a French economist and diplomat who serves as France’s ambassador to the United States.
-
B.
Laurence Sharp
Laurence Sharp is an individual notable enough to be recognized as a bearer of the surname Sharp, though specific widely known public details about him are not readily available.
-
C.
Laurence Vail
Laurence Vail was an American writer and sculptor associated with the early 20th-century avant-garde and expatriate literary circles in Europe.
-
D.
Lawrence Lacks
Lawrence Lacks is the eldest son of Henrietta Lacks, whose immortal HeLa cells became foundational to modern biomedical research.
-
E.
Laurence Laurentz
Laurence Laurentz is a fussy, highbrow British film director in the Coen brothers’ movie "Hail, Caesar!" known for his exasperated attempts to work with a miscast cowboy star.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1829119648190aef5b5e84b26d898 |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf267a9c81908f1fa1ad117c5e2c |
completed | May 10, 2026, 12:19 a.m. |
| NEDg | Description generation | batch_69ffd0bfc05881908d7223c52050ea14 |
completed | May 10, 2026, 12:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd159dbcc81908ac586a6b8de57cf |
completed | May 10, 2026, 12:29 a.m. |
Created at: April 10, 2026, 4:55 a.m.