Triple
T16803603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephan |
E408420
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Steven |
unclear NED1
|
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: Steven | Statement: [Stephan, relatedName, Steven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven Context triple: [Stephan, relatedName, Steven]
-
A.
Steven
Steven is the given name of renowned American filmmaker Steven Spielberg.
-
B.
Steven
Steven is the given first name of former Major League Baseball first baseman and ten-time All-Star Steve Garvey.
-
C.
Steven
Steven is the given name of Steven Shih Chen, the Taiwanese-American internet entrepreneur best known as a co-founder of YouTube.
-
D.
Steven
Steven is the given name of the American stand-up comedian and actor Steven Wright, known for his deadpan delivery and surreal humor.
-
E.
Steven
Steven is the given first name of American film producer and New York Giants co-owner Steve Tisch.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2ca46f88190b56e81d75012496c |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c29ea9fc81909087cdf28c9c9fc0 |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:22 a.m.