Triple
T9952878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonard Hofstadter |
E195370
|
entity |
| Predicate | livingArrangement |
P29563
|
FINISHED |
| Object | shares apartment with Sheldon Cooper for much of the series |
—
|
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: shares apartment with Sheldon Cooper for much of the series | Statement: [Leonard Hofstadter, livingArrangement, shares apartment with Sheldon Cooper for much of the series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: livingArrangement Context triple: [Leonard Hofstadter, livingArrangement, shares apartment with Sheldon Cooper for much of the series]
-
A.
residence
Indicates that one entity lives at, is based in, or habitually occupies the location represented by the other entity.
-
B.
residenceType
Indicates the kind or category of dwelling or living arrangement associated with an entity.
-
C.
living
Indicates that an entity is alive or currently exists in a living state.
-
D.
livedWith
chosen
Indicates that two entities shared the same residence or household for a period of time.
-
E.
housingPattern
Indicates the typical arrangement or distribution of housing units or residential structures within a given area or context.
- 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_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb693918081908e9f96ef302235ad |
completed | April 2, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69cd1d97c44081908730071269f07712 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:46 p.m.