Triple
T83124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulagi |
E1670
|
entity |
| Predicate | nearbyIsland |
P2064
|
FINISHED |
| Object | Nggela Sule |
E4097
|
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: Nggela Sule | Statement: [Tulagi, nearbyIsland, Nggela Sule]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nggela Sule Context triple: [Tulagi, nearbyIsland, Nggela Sule]
-
A.
Nggela Sule
chosen
Nggela Sule is one of the principal islands in the Florida Islands group of the Solomon Islands in the South Pacific.
-
B.
Irin Carmon
Irin Carmon is a journalist and author best known for co-writing the biography "Notorious RBG" about Supreme Court Justice Ruth Bader Ginsburg.
-
C.
Chrissy Teigen
Chrissy Teigen is an American model, television personality, and cookbook author known for her Sports Illustrated work, outspoken social media presence, and lifestyle brand.
-
D.
Maxine Singer
Maxine Singer is an American molecular biologist renowned for her pioneering work in genetics and for her leadership in shaping ethical guidelines for recombinant DNA research.
-
E.
Jennifer Hudson
Jennifer Hudson is an American singer and actress renowned for her powerful vocals, Academy Award–winning performance in "Dreamgirls," and success on both stage and screen.
- 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_69a24c8150408190910a693eb51c1f71 |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a2567c90308190a9b989c586f7e559 |
completed | Feb. 28, 2026, 2:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a25abdf36c819087c4be57bd8ce8c5 |
completed | Feb. 28, 2026, 3:02 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.