Triple
T37804042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angela Cross |
E942454
|
entity |
| Predicate | gameReleaseYearOfFirstAppearance |
P165499
|
FINISHED |
| Object | 2003 |
—
|
LITERAL 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: 2003 | Statement: [Angela Cross, gameReleaseYearOfFirstAppearance, 2003]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameReleaseYearOfFirstAppearance Context triple: [Angela Cross, gameReleaseYearOfFirstAppearance, 2003]
-
A.
videoGameDebutYear
chosen
Indicates the year in which a video game was first released or made publicly available.
-
B.
videoGameReleaseYear
Indicates the calendar year in which a particular video game was released.
-
C.
originalGamesYear
Indicates the year in which the original version of the game was first released.
-
D.
screenDebutYear
Indicates the year in which an entity first appeared on screen (such as in film, television, or other recorded visual media).
-
E.
gamesYear
Indicates that an event, competition, or set of games took place in, or is associated with, a specific calendar year.
- F. None of above.
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_69f76ee8104c8190ab17133ccd8f86e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.