Triple
T4559618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will McAvoy |
E120559
|
entity |
| Predicate | hasAwardInStory |
P57673
|
FINISHED |
| Object | ratings success prior to series events |
—
|
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: ratings success prior to series events | Statement: [Will McAvoy, hasAwardInStory, ratings success prior to series events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardInStory Context triple: [Will McAvoy, hasAwardInStory, ratings success prior to series events]
-
A.
hasAwardConnection
Indicates a relationship where an entity is connected to an award, such as by receiving, being nominated for, or otherwise associated with that award.
-
B.
hasAwardItem
Indicates that an entity possesses, is associated with, or has been granted a specific award item.
-
C.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
D.
hasAwardCategoryWithin
Indicates that an award belongs to or is classified under a specific award category within a broader award system or hierarchy.
-
E.
hasAwardShow
Indicates that an entity organizes, hosts, or is associated with a specific award show or ceremony.
- F. None of above. chosen
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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd582b871c8190be0b70c76d639000 |
completed | March 20, 2026, 2:22 p.m. |
| PD | Predicate disambiguation | batch_69bd52254c648190a5144cfe8fa7e409 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56f6e75481909c487a94a2c2d0ba |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:09 p.m.