Triple
T11013968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lac du Der-Chantecoq |
E260314
|
entity |
| Predicate | inflow |
P415
|
FINISHED |
| Object | Blaise |
E585456
|
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: Blaise | Statement: [Lac du Der-Chantecoq, inflow, Blaise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blaise Context triple: [Lac du Der-Chantecoq, inflow, Blaise]
-
A.
Blaise
Blaise is a given name most famously borne by the French mathematician, physicist, and philosopher Blaise Pascal.
-
B.
Blaise
The Blaise is a small river in northern France that flows through the Eure department as one of its tributaries.
-
C.
Blaise
chosen
Blaise is a river in northeastern France that flows through the Haute-Marne department.
-
D.
Brice
Brice is a central character in Tyler Perry's film "Temptation: Confessions of a Marriage Counselor," portrayed as the devoted but imperfect husband whose relationship is tested by infidelity and ambition.
-
E.
Baptiste
Baptiste is a British crime drama television series centered on the character of detective Julien Baptiste, a spin-off from the series "The Missing."
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797a49f648190a5144625d09dec6f |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374c238ac81908e0a5eff958d6545 |
completed | April 18, 2026, 12:10 p.m. |
Created at: April 8, 2026, 9:25 p.m.