Triple
T4456753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rupel |
E97745
|
entity |
| Predicate | flowsPast |
P4996
|
FINISHED |
| Object | Niel |
E326558
|
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: Niel | Statement: [Rupel, flowsPast, Niel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niel Context triple: [Rupel, flowsPast, Niel]
-
A.
Niel
chosen
Niel is a French surname most prominently associated with Xavier Niel, a billionaire entrepreneur and telecoms magnate.
-
B.
Neil
Neil is the given name of Neil deGrasse Tyson, a prominent American astrophysicist, author, and science communicator.
-
C.
Neill
Neill is a surname and given name of Gaelic origin, commonly found in Ireland and Scotland and borne by various notable individuals across fields such as politics, sports, and the arts.
-
D.
Nigel
Nigel is the villainous, vengeful cockatoo who serves as the primary antagonist in the animated film Rio 2.
-
E.
Nigel
Nigel is a masculine given name of English origin, historically derived from the Latin name Nigellus and commonly used in the UK and other English-speaking countries.
- 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356434e9481908f883c09e0908f6b |
completed | March 13, 2026, 12:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6282743e08190a2c84f3b80c6d260 |
completed | March 15, 2026, 3:31 a.m. |
Created at: March 12, 2026, 11:33 p.m.