Triple
T7505156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shane Mosley |
E177368
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Shane |
E185820
|
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: Shane | Statement: [Shane Mosley, givenName, Shane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shane Context triple: [Shane Mosley, givenName, Shane]
-
A.
Shane
chosen
Shane is a masculine given name of Irish origin that has become common in English-speaking countries.
-
B.
Shane
Shane is a classic 1953 American Western film, directed by George Stevens, that follows a mysterious gunslinger who becomes entangled in a frontier family's struggle against a ruthless cattle baron.
-
C.
Shane Drake
Shane Drake is an American music video director known for his work with major pop and rock artists across the 2000s and 2010s.
-
D.
Shane Harper
Shane Harper is an American actor and singer known for roles in film and television, including the miniseries "A Teacher."
-
E.
Shane Boris
Shane Boris is an Academy Award–winning American film producer known for his work on acclaimed documentaries such as "Navalny."
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5b4c83c8190ace59f4d9e271904 |
completed | March 27, 2026, 9:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c9dcc2881908eea4efe075e894d |
completed | March 28, 2026, 8:39 p.m. |
Created at: March 27, 2026, 3:44 p.m.