Triple
T35119265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Iron Throne |
E1014121
|
entity |
| Predicate | notableEpisodeTitle |
P47963
|
FINISHED |
| Object | The Iron Throne (Game of Thrones series finale) |
E2111062
|
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 Iron Throne (Game of Thrones series finale) | Statement: [the Iron Throne, notableEpisodeTitle, The Iron Throne (Game of Thrones series finale)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableEpisodeTitle Context triple: [the Iron Throne, notableEpisodeTitle, The Iron Throne (Game of Thrones series finale)]
-
A.
notableEpisode
Indicates that a particular episode is especially significant, memorable, or noteworthy in relation to the subject.
-
B.
notableEpisodeEvent
Indicates that an event is especially significant or noteworthy within the context of a particular episode.
-
C.
notableEP
Indicates that an entity is especially well-known or significant for a particular EP (extended play recording).
-
D.
episodeTitle
chosen
Indicates that a given title string is the name of a specific episode within a series or program.
-
E.
notableTitleType
Indicates that a title associated with an entity is of a type considered notable or especially significant.
- 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_69f76dd8b6948190aaa32b081816bd94 |
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_6a37d00513f48190b878a74b9346f423 |
completed | June 21, 2026, 11:50 a.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:01 p.m.