Triple
T658241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorothy McGuire |
E11695
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Claudia |
E14367
|
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: Claudia | Statement: [Dorothy McGuire, notableWork, Claudia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claudia Context triple: [Dorothy McGuire, notableWork, Claudia]
-
A.
Claudia
chosen
Claudia is a feminine given name used in various cultures, derived from the ancient Roman family name Claudius.
-
B.
Paula
Paula is a feminine given name used in many languages, derived from the Latin name Paulus meaning "small" or "humble."
-
C.
Clementina
Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
-
D.
Livia Orestilla
Livia Orestilla was a Roman noblewoman best known for her brief and scandalous marriage to the emperor Caligula in the 1st century AD.
-
E.
Bianca
Bianca is a key supporting character in the "Creed" film series, a musician and love interest of Adonis Creed who plays a central role in his personal life and emotional journey.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fa55e048190bd9913c6c31772d0 |
completed | March 1, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d6cdc9c81909eb3240c00fa530d |
completed | March 3, 2026, 11:23 p.m. |
Created at: March 1, 2026, 7:36 p.m.