Triple
T29082417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ego (Marvel Cinematic Universe) |
E734014
|
entity |
| Predicate | hiresForTask |
P109416
|
FINISHED |
| Object | to collect his offspring across the galaxy |
—
|
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: to collect his offspring across the galaxy | Statement: [Ego (Marvel Cinematic Universe), hiresForTask, to collect his offspring across the galaxy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hiresForTask Context triple: [Ego (Marvel Cinematic Universe), hiresForTask, to collect his offspring across the galaxy]
-
A.
canHire
Indicates that one entity has the authority or ability to employ or recruit another entity.
-
B.
namedForWorkOn
Indicates that an entity is named in honor of another entity specifically because of that entity’s work or contributions in a particular field or endeavor.
-
C.
workFor
Indicates that one entity is employed by or performs work under the authority or direction of another entity.
-
D.
isTaskedWith
chosen
Indicates that an entity has been assigned the responsibility or duty to perform a specific task or set of tasks.
-
E.
namedForWork
Indicates that one entity is named in honor of, or derived from the title of, a particular work (such as a book, film, artwork, or other creative production).
- 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_69f05b0c0f28819086eae6e84f2ae472 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f661444688819085f1dc9314697df0 |
completed | May 2, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 10:56 a.m.