Triple
T35280334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osha |
E1018917
|
entity |
| Predicate | firstSeenIn |
P4114
|
FINISHED |
| Object | Game of Thrones Season 1 |
E68167
|
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: Game of Thrones Season 1 | Statement: [Osha, firstSeenIn, Game of Thrones Season 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSeenIn Context triple: [Osha, firstSeenIn, Game of Thrones Season 1]
-
A.
firstAppeared
chosen
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
-
B.
firstAppearedAt
Indicates the point in time or specific event at which an entity was first introduced, observed, or became known.
-
C.
firstUsedOn
Indicates the date, time, or context in which something was initially applied, activated, or put into use on a particular object or entity.
-
D.
firstAppearanceFor
Indicates that an entity marks the initial occurrence or debut of another entity within a given context or medium.
-
E.
firstAppearanceApprox
Indicates that one entity is the approximate or estimated first appearance of another entity in time or context.
- F. None of above.
Provenance (4 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_69f76de6d39c8190bb11342e4b91ff2b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a380fc1146c8190a05baba52431a2c1 |
completed | June 21, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:03 p.m.