Triple
T10449131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lucy–Desi Comedy Hour |
E246367
|
entity |
| Predicate | starsRealLifeCouple |
P35186
|
FINISHED |
| Object | Lucille Ball and Desi Arnaz |
—
|
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: Lucille Ball and Desi Arnaz | Statement: [The Lucy–Desi Comedy Hour, starsRealLifeCouple, Lucille Ball and Desi Arnaz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starsRealLifeCouple Context triple: [The Lucy–Desi Comedy Hour, starsRealLifeCouple, Lucille Ball and Desi Arnaz]
-
A.
notableCouple
chosen
Indicates that two entities are widely recognized or documented as a couple in a notable or significant relationship.
-
B.
marriedToNotablePerson
Indicates that a person is legally married to another individual who is widely recognized or notable.
-
C.
relationshipStatusDuringFilm
Indicates the type or state of a relationship between entities specifically during the time period in which a film takes place or is produced.
-
D.
lifePartnerOfKeyFigureIn
Indicates that one entity is the life partner (such as spouse or long-term companion) of a key or central figure associated with another entity (such as an organization, event, or work).
-
E.
directorSpouseInCast
Indicates that a film’s director is married to someone who appears as a cast member in that same film.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe083cd881909d2d8ad75d1d94cb |
completed | April 7, 2026, 12:52 p.m. |
| PD | Predicate disambiguation | batch_69d4fb73a5e48190a8df4775bc5da80f |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:16 p.m.