Triple
T9133092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fantastic Four |
E219137
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Valeria Richards |
E778830
|
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: Valeria Richards | Statement: [Fantastic Four, member, Valeria Richards]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valeria Richards Context triple: [Fantastic Four, member, Valeria Richards]
-
A.
Valeria Richards
chosen
Valeria Richards is a highly intelligent Marvel Comics character, the daughter of Reed Richards and Sue Storm, often depicted as a child prodigy whose genius rivals that of her father.
-
B.
Martha Coleman
Martha Coleman is a film producer known for her work on the British comedy-drama "Praise."
-
C.
Jennifer Walters
Jennifer Walters is a Marvel Comics lawyer who becomes the superhero She-Hulk after receiving a blood transfusion from her cousin Bruce Banner.
-
D.
Violet Jones
Violet Jones is the image-conscious, perfection-seeking advertising executive whose emotional and personal transformation drives the romantic comedy film "Nappily Ever After."
-
E.
Alex Scott
Alex Scott is a former England international footballer who became a prominent British sports broadcaster and television presenter.
- 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8dccecc81908d8fc641c419ca6a |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d047e5ad5481909b7e62bee4d57492 |
completed | April 3, 2026, 11:06 p.m. |
Created at: March 30, 2026, 7:18 p.m.