Triple
T15904218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blanche Tyler |
E385666
|
entity |
| Predicate | appearsAlongsideCharacter |
P25756
|
FINISHED |
| Object | Fran |
E77813
|
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: Fran | Statement: [Blanche Tyler, appearsAlongsideCharacter, Fran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fran Context triple: [Blanche Tyler, appearsAlongsideCharacter, Fran]
-
A.
Fran
chosen
Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
-
B.
Franc
The franc is a former primary currency used in several European and African countries, most notably France and Switzerland, before largely being replaced by the euro in the Eurozone.
-
C.
Le François
Le François is a coastal commune on the eastern side of Martinique in the French Caribbean, known for its sheltered bays, islets, and traditional fishing and agricultural activities.
-
D.
Fra
Fra is a chivalric honorific used within the Knights Hospitaller (Order of Malta) to denote a professed knight or brother.
-
E.
Fransat
Fransat is a French free-to-air satellite television platform that provides access to the national digital terrestrial TV channels across France.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563f74d88190a3d92ca0ad46e867 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb051a05081908c349cd9a1ff247a |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.