Triple
T14528740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Stoic |
E340846
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Berenice Fleming |
E1148245
|
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: Berenice Fleming | Statement: [The Stoic, hasCharacter, Berenice Fleming]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berenice Fleming Context triple: [The Stoic, hasCharacter, Berenice Fleming]
-
A.
Berenice Fleming
chosen
Berenice Fleming is a fictional character from the science fiction novel "The Titan."
-
B.
Florence Williamson
Florence Williamson is a film editor known for her work on the 1972 musical historical comedy film "1776."
-
C.
Florence McFadden
Florence McFadden was the wife of American actor and vaudevillian Jack Haley, best known for his role as the Tin Man in the classic film "The Wizard of Oz."
-
D.
Olive Latham
"Olive Latham" is a lesser-known novel by Ethel Lilian Voynich, the author of the famous revolutionary novel "The Gadfly."
-
E.
Leonora Rogers
Leonora Rogers was the wife of Austrian-American actor Joseph Schildkraut, known for her marriage to the prominent stage and film performer.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea051bc608190ad4d516c5e7bca43 |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef883f2b88190807d9157e8d45e3c |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 1:22 a.m.