Triple
T3668233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fran |
E77813
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Francis |
unclear NED1
|
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: Francis | Statement: [Fran, relatedName, Francis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Francis Context triple: [Fran, relatedName, Francis]
-
A.
Francis
Francis is the middle name of American seismologist Charles Francis Richter, best known for creating the Richter magnitude scale for measuring earthquakes.
-
B.
Francis
Francis is the tough yet sensitive ladybug character from Pixar's animated film "A Bug's Life."
-
C.
Francis
Francis is the middle name of Victoria Lawford, a member of the extended Kennedy family.
-
D.
Francis
Francis is the given first name of Daley Thompson, the celebrated British decathlete and double Olympic gold medalist.
-
E.
Francis
Francis is the given first name of the American actor Frank Morgan, best known for his role as the Wizard in "The Wizard of Oz."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42997d88190bc765559bd7645fc |
completed | March 8, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4cde628c08190adc058d8d35a5e5d |
completed | March 14, 2026, 2:54 a.m. |
Created at: March 8, 2026, 3:25 p.m.