Triple
T14654122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Walters |
E344064
|
entity |
| Predicate | hasAlias |
P455
|
FINISHED |
| Object | Jen Walters |
E344064
|
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: Jen Walters | Statement: [Jennifer Walters, hasAlias, Jen Walters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jen Walters Context triple: [Jennifer Walters, hasAlias, Jen Walters]
-
A.
Martha Coleman
Martha Coleman is a film producer known for her work on the British comedy-drama "Praise."
-
B.
Valeria Richards
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.
-
C.
Jennifer Walters
chosen
Jennifer Walters is a Marvel Comics lawyer who becomes the superhero She-Hulk after receiving a blood transfusion from her cousin Bruce Banner.
-
D.
Kara Danvers
Kara Danvers is the civilian identity of Supergirl, a Kryptonian superhero and central protagonist in the Arrowverse television franchise.
-
E.
Jemma Simmons
Jemma Simmons is a brilliant biochemist and S.H.I.E.L.D. agent in the Marvel universe, known for her scientific expertise, courage, and close partnership with Leo Fitz.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb518f7dc8190877997ea4cd3eed2 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde17283608190a8351b366cac5e4f |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:27 a.m.