Triple
T3611989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jedediah |
E76508
|
entity |
| Predicate | teamUpWith |
P49939
|
FINISHED |
| Object | Larry Daley to save the museum exhibits |
—
|
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: Larry Daley to save the museum exhibits | Statement: [Jedediah, teamUpWith, Larry Daley to save the museum exhibits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamUpWith Context triple: [Jedediah, teamUpWith, Larry Daley to save the museum exhibits]
-
A.
team
Indicates that multiple entities are grouped together as a collaborative unit working toward shared goals or tasks.
-
B.
teamBased
Indicates that an activity, process, or structure is organized around collaboration within a group or team rather than by individuals working independently.
-
C.
teamComponent
Indicates that one entity functions as a component, member, or sub-unit within a larger team or group entity.
-
D.
managedTeamFrom
Indicates that one entity led, directed, or supervised a team originating from or based in another specified entity.
-
E.
associatedTeam
Indicates that one entity is linked or connected to a particular team, typically as its member, owner, or primary affiliation.
- 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc22e5b30819084184b730732c727 |
completed | March 8, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69adb83d8b1c8190b3bddbc5dc995a87 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb8e4ba948190a9b777cf7f788b96 |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:23 p.m.