Triple
T968715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Robber Bride |
E20896
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Roz |
E114759
|
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: Roz | Statement: [The Robber Bride, hasCharacter, Roz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roz Context triple: [The Robber Bride, hasCharacter, Roz]
-
A.
Roz
chosen
Roz is one of the central protagonists in Margaret Atwood's novel "The Robber Bride," known for her sharp wit, business success, and complex friendship with the other women targeted by the enigmatic Zenia.
-
B.
Ró
Ró is a shortened given name or nickname derived from the name Róbert.
-
C.
Robin
Robin is a given name commonly used in various cultures, often as a diminutive or variant of names like Robert.
-
D.
Rae
Rae is a given name used across various cultures, often as a short form or variant of names like Rachel or Raymond.
-
E.
Rob
Rob is a common shortened form of the given name Robert, frequently used as an informal or familiar first name.
- 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b4481f508190adcf0a965a23862c |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac1cd9705c8190adf1fb72188cc84e |
completed | March 7, 2026, 12:40 p.m. |
Created at: March 1, 2026, 7:40 p.m.