Triple
T13136073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleanor Zissou |
E312085
|
entity |
| Predicate | helpsManage |
P83967
|
FINISHED |
| Object | Steve Zissou’s oceanographic ventures |
—
|
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: Steve Zissou’s oceanographic ventures | Statement: [Eleanor Zissou, helpsManage, Steve Zissou’s oceanographic ventures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpsManage Context triple: [Eleanor Zissou, helpsManage, Steve Zissou’s oceanographic ventures]
-
A.
manageThrough
Indicates that one entity exercises control, direction, or administration over another entity or process by means of an intermediary entity, channel, or mechanism.
-
B.
managementIs
Indicates that one entity holds a managerial role, responsibility, or authority over another entity.
-
C.
managedIn
Indicates that one entity is administered, operated, or overseen within the scope, control, or jurisdiction of another entity.
-
D.
managedAct
Indicates that one entity oversaw, directed, or was responsible for carrying out a particular action or activity.
-
E.
managedAffairsOf
chosen
Indicates that one entity was responsible for handling, overseeing, or conducting the business, administrative, or personal matters of 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981b53fbc8190a0f209c32a00f6cb |
completed | April 10, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69d9804543cc8190a23cd7da59a12a7b |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:08 p.m.