Triple
T14416124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esme Cullen |
E357456
|
entity |
| Predicate | maidenName |
P18
|
FINISHED |
| Object | Platt |
E165255
|
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: Platt | Statement: [Esme Cullen, maidenName, Platt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Platt Context triple: [Esme Cullen, maidenName, Platt]
-
A.
Platt
chosen
Platt is a minor character in the play "Inherit the Wind," which dramatizes the famous Scopes "Monkey" Trial and explores the conflict between religious fundamentalism and the teaching of evolution.
-
B.
Plattner
Plattner is a German surname most prominently associated with Hasso Plattner, the billionaire co-founder of the software company SAP.
-
C.
Plunkett
Plunkett is an Irish-origin surname borne by numerous notable figures in politics, the arts, and public life.
-
D.
Pittman
Pittman is a surname of English origin borne by various notable individuals across politics, sports, and the arts.
-
E.
Nortrup
Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cc99208190a2313b1acfb5d802 |
completed | April 14, 2026, 7:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd552bc32c81908a562732e3950442 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:17 a.m.