Triple
T35142718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The One with Phoebe's Wedding |
E1014737
|
entity |
| Predicate | hasWeddingCouple |
P110874
|
FINISHED |
| Object | Phoebe Buffay and Mike Hannigan |
—
|
NE NERFINISHED |
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: Phoebe Buffay and Mike Hannigan | Statement: [The One with Phoebe's Wedding, hasWeddingCouple, Phoebe Buffay and Mike Hannigan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWeddingCouple Context triple: [The One with Phoebe's Wedding, hasWeddingCouple, Phoebe Buffay and Mike Hannigan]
-
A.
weddingStatus
Indicates the current state or condition of an entity’s marriage or wedding (e.g., single, engaged, married, divorced).
-
B.
associatedWithWeddingOf
chosen
Indicates a relationship where something is connected or related to the wedding event of specific individuals.
-
C.
hasMainCouple
Indicates that a work or narrative features a primary romantic couple who are the central focus of its relationship storyline.
-
D.
hasGroom
Indicates that an entity has a groom, i.e., is associated with a male partner in a marriage or wedding relationship.
-
E.
hasMarriage
Indicates a marital relationship exists between the two entities, specifying that they are or were legally married to each other.
- F. None of above.
Provenance (3 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_69f76dda7c108190a2ffd93eb6c341a7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78cab90cc8190827145ac515d203b |
completed | May 3, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:02 p.m.