Triple
T3845985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurance Rockefeller |
E93570
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Laurance |
E246298
|
NE FINISHED |
How this triple was built (2 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: Laurance | Statement: [Laurance Rockefeller, givenName, Laurance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurance Context triple: [Laurance Rockefeller, givenName, Laurance]
-
A.
Laurance
chosen
Laurance is a given name and surname, most commonly recognized as a spelling variant of Laurence.
-
B.
Kuvempu
Kuvempu was a renowned Indian poet, novelist, and playwright who became one of the most influential figures in modern Kannada literature and a leading voice of the Navodaya literary movement.
-
C.
Willard
Willard is a masculine given name of Old English origin meaning "resolute" or "strong-willed."
-
D.
Luman Reed
Luman Reed was a prominent 19th-century New York merchant and art patron who played a key role in supporting early American painters, including members of the Hudson River School.
-
E.
Vance
Vance is a surname most prominently associated with Emmy and Tony Award–winning American actor Courtney B. Vance.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb77a488190be7fc2a1211f1f2d |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b504122cb08190ba97ce14e8d891fc |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:18 p.m.