Triple
T13636613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFC 2481 |
E325863
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Sally Floyd |
E355634
|
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: Sally Floyd | Statement: [RFC 2481, author, Sally Floyd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sally Floyd Context triple: [RFC 2481, author, Sally Floyd]
-
A.
Sally Floyd
chosen
Sally Floyd was a pioneering computer scientist best known for her influential work on Internet congestion control and active queue management, including the development of Random Early Detection (RED) algorithms.
-
B.
Gerard J. Holzmann
Gerard J. Holzmann is a computer scientist best known for creating the SPIN model checker and for his influential work in formal verification and software reliability.
-
C.
Thomas A. Henzinger
Thomas A. Henzinger is a prominent computer scientist known for his foundational work in formal verification, hybrid systems, and the theory of real-time and embedded systems.
-
D.
Patrice Godefroid
Patrice Godefroid is a computer scientist known for his pioneering work in software model checking, automated testing, and program analysis.
-
E.
Margaret Martonosi
Margaret Martonosi is a prominent computer architect and Princeton University professor known for her influential research in power-aware computing, computer architecture, and hardware–software interface design.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc5a616dc81908b8c1213e1d4beed |
completed | April 12, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78af297008190b12256c936714213 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:51 p.m.