Triple
T10621221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wale |
E250208
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Gifted |
E443041
|
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: The Gifted | Statement: [Wale, notableWork, The Gifted]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Gifted Context triple: [Wale, notableWork, The Gifted]
-
A.
The Gifted (TV series)
chosen
The Gifted is an American television series set in the X-Men universe that follows a family on the run after discovering their children possess mutant abilities.
-
B.
Ever Gifted
Ever Gifted is a large container ship in the Evergreen Marine fleet, built as a sister vessel to the famously massive Ever Given.
-
C.
Gifted (2017 film)
Gifted (2017 film) is a drama about a man raising his mathematically prodigious niece while battling family pressures over her future.
-
D.
Guardians
Guardians are the uniformed service members of the United States Space Force, responsible for conducting and supporting military operations in space.
-
E.
Guardians
Guardians is a Russian superhero film featuring Karel Roden as its primary antagonist.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df70b0288190bf6edd705632ff02 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b908e788190bc9e4f327e871a7f |
completed | April 10, 2026, 9:28 p.m. |
Created at: April 8, 2026, 8:50 p.m.