Triple
T35469375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean Maher as Simon Tam |
E1025165
|
entity |
| Predicate | notableRelationshipInStory |
P117137
|
FINISHED |
| Object | River Tam |
E1025161
|
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: River Tam | Statement: [Sean Maher as Simon Tam, notableRelationshipInStory, River Tam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableRelationshipInStory Context triple: [Sean Maher as Simon Tam, notableRelationshipInStory, River Tam]
-
A.
notableRelationshipDynamic
Indicates a significant, distinguishing type of relationship or interaction that meaningfully shapes how the involved entities are connected or influence one another.
-
B.
notableRelative
Indicates that an entity has a relative who is notable or well-known, specifying that familial relationship.
-
C.
hasFictionalRelationshipWith
Indicates that there exists a fictional or imagined relationship between two entities, such as characters in a story or hypothetical scenarios.
-
D.
associatedWithPersonInStory
chosen
Indicates that one entity has a connection or involvement with a specific person within the context of a story.
-
E.
knownForStorylinesAbout
Indicates that an entity is recognized or notable for creating, featuring, or being associated with particular storylines or narrative themes.
- 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_69f76dfa20d0819089585dc2cf653aea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38726c71bc81909f77eae2d4ffa442 |
completed | June 21, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:04 p.m.