Triple
T21619713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Richard D'Arcy |
E533542
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Simon |
—
|
NE NERFINISHED |
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: Simon | Statement: [Simon Richard D'Arcy, givenName, Simon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simon Context triple: [Simon Richard D'Arcy, givenName, Simon]
-
A.
Simon
chosen
Simon is a common masculine given name of Hebrew origin, widely used in many cultures and languages.
-
B.
Simon
Simon is a fictional character from the animated television series "The Seasons."
-
C.
Simon
Simon was one of the nuclear test detonations conducted during the U.S. Operation Upshot–Knothole series in 1953.
-
D.
Simon
Simon is the central protagonist of the 2021 dark comedy-drama film "Silent Night," around whom the story’s apocalyptic Christmas gathering unfolds.
-
E.
Simon
Simon is a sensitive, introspective boy in William Golding’s novel "Lord of the Flies," often seen as a Christ-like figure who represents innate human goodness and spiritual insight.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3bad094c8190879d4aef7988254a |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 16, 2026, 6:34 p.m.