Triple
T29683308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Outside Man |
E751014
|
entity |
| Predicate | basedInPartIn |
P193661
|
FINISHED |
| Object | Los Angeles |
—
|
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: Los Angeles | Statement: [The Outside Man, basedInPartIn, Los Angeles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedInPartIn Context triple: [The Outside Man, basedInPartIn, Los Angeles]
-
A.
usedInPartOf
Indicates that something is utilized or plays a functional role within a specific component or subpart of a larger whole.
-
B.
hasPartIn
Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
-
C.
basedInUntil
Indicates that an entity was based or located in a particular place up to a specified end time or date, after which this association ceased.
-
D.
definedInPart
Indicates that something is specified, described, or formally established within a particular part or section of a larger whole.
-
E.
containedPartOf
Indicates that one entity is physically or logically included within and forms a part of another entity.
- F. None of above. chosen
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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69fd4f38728c8190b3271abc80882cfb |
completed | May 8, 2026, 2:49 a.m. |
Created at: April 28, 2026, 7:11 p.m.