Triple
T15908300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florin |
E385780
|
entity |
| Predicate | hasNotableCharacter |
P7927
|
FINISHED |
| Object | Fezzik |
E385784
|
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: Fezzik | Statement: [Florin, hasNotableCharacter, Fezzik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fezzik Context triple: [Florin, hasNotableCharacter, Fezzik]
-
A.
Fezzik
chosen
Fezzik is the gentle giant and skilled but soft-hearted fighter who serves as a memorable companion in the fantasy adventure story "The Princess Bride."
-
B.
Hoggle
Hoggle is a gruff yet ultimately loyal dwarf-like creature from the fantasy film "Labyrinth," who helps guide the protagonist through the maze.
-
C.
Fiete
Fiete is a German diminutive form of the given name Friedrich, commonly used as a familiar or regional nickname.
-
D.
Gurgi
Gurgi is a timid yet loyal, creature-like companion character from Disney’s animated fantasy film "The Black Cauldron."
-
E.
Gobbo
Gobbo is a mischievous goblin character who serves as one of the main troublemaking antagonists in Enid Blyton’s Noddy stories.
- 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_69e1565c11bc819091b1fd85901a832d |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb055307081908a13c98a0e16780c |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.