Triple
T21618495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madame de Garderobe |
E533509
|
entity |
| Predicate | supportsCharacter |
P16523
|
FINISHED |
| Object | Prince Adam / the Beast |
—
|
NE NERFINISHED |
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: Prince Adam / the Beast | Statement: [Madame de Garderobe, supportsCharacter, Prince Adam / the Beast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prince Adam / the Beast Context triple: [Madame de Garderobe, supportsCharacter, Prince Adam / the Beast]
-
A.
Prince Adam
chosen
Prince Adam is the human identity of the Beast, the cursed prince who falls in love with Belle in Disney's "Beauty and the Beast."
-
B.
Aslan
Aslan is the great lion and Christ-like figure who serves as the wise, powerful, and sacrificial protector of Narnia in C.S. Lewis's fantasy series.
-
C.
Merlyn
Merlyn is a fictional surname most prominently associated with Malcolm Merlyn, a major antagonist in DC Comics’ Green Arrow stories and related media adaptations.
-
D.
Merlyn
Merlyn is a legendary wizard of Arthurian mythology, best known as King Arthur’s mentor and a central figure in many retellings of the Arthurian legends.
-
E.
Rupert
Rupert is a small town located in Greenbrier County in the state of West Virginia, United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3bac4a5c8190919c625c14a54c16 |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 16, 2026, 6:34 p.m.