Triple
T35557834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Remember You |
E1027548
|
entity |
| Predicate | associatedWithFandomTerm |
P139921
|
FINISHED |
| Object | Simon and Marcy |
E2121131
|
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: Simon and Marcy | Statement: [Remember You, associatedWithFandomTerm, Simon and Marcy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithFandomTerm Context triple: [Remember You, associatedWithFandomTerm, Simon and Marcy]
-
A.
associatedWithFandomSymbol
Indicates a relationship where something is linked to, represents, or is commonly used as a symbol for a particular fandom.
-
B.
hasFandomAssociation
Indicates a relationship where an entity is associated with, connected to, or recognized within a particular fandom or fan community.
-
C.
fandomNameAssociation
Indicates an association between a fandom and the specific name used to refer to that fandom.
-
D.
fandomTerm
chosen
Indicates that one entity is a term, label, or piece of vocabulary specifically used within the fandom associated with another entity.
-
E.
fandomSharedWith
Indicates that two or more entities share interest or participation in the same fandom.
- 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_69f76e014fd481909e9f04ac603a2aa9 |
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_6a3852f774c88190ab556b740cff70f3 |
completed | June 21, 2026, 9:09 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:04 p.m.