Triple
T19999907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homelife |
E494289
|
entity |
| Predicate | workCombination |
P97828
|
FINISHED |
| Object | often performed together with The Zoo Story |
—
|
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: often performed together with The Zoo Story | Statement: [Homelife, workCombination, often performed together with The Zoo Story]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workCombination Context triple: [Homelife, workCombination, often performed together with The Zoo Story]
-
A.
businessCombinationWith
Indicates that two or more business entities are joined through a merger, acquisition, or similar transaction to form a combined reporting or operating unit.
-
B.
laterCombination
Indicates that one entity is a combination or composite that occurs after, or is formed subsequent to, another entity or state.
-
C.
combinationType
Indicates how multiple elements are combined or related to each other within a composite structure or operation.
-
D.
worksWith
Indicates that two entities collaborate or perform tasks together in a shared work-related context.
-
E.
workWith
chosen
Indicates that one entity collaborates or engages in work-related activities together with another entity.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a15f308190a99ac3205f948acb |
completed | April 20, 2026, 5:25 p.m. |
| PD | Predicate disambiguation | batch_69e54cdddbd48190becc8b2aa5ab4ef9 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:32 p.m.