Triple
T8092246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eliot Spencer |
E188893
|
entity |
| Predicate | hasBackgroundIn |
P15585
|
FINISHED |
| Object | military operations |
—
|
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: military operations | Statement: [Eliot Spencer, hasBackgroundIn, military operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBackgroundIn Context triple: [Eliot Spencer, hasBackgroundIn, military operations]
-
A.
hasBackground
chosen
Indicates that an entity possesses or is associated with a particular background, such as context, setting, or prior circumstances.
-
B.
hasAuthorBackgroundIn
Indicates that an author possesses a particular background, such as education, experience, or expertise, in a specified field or domain.
-
C.
hasBackgroundColor
Indicates that an entity possesses or is associated with a specific background color.
-
D.
hasMemberBackground
Indicates that an entity has information describing the background or history of one of its members.
-
E.
hasNotableHostBackground
Indicates that the host of an event, show, or program has a background or profile that is considered particularly significant, distinguished, or noteworthy.
- 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42217a1881909792b08a2f06fb75 |
completed | March 31, 2026, 3:40 a.m. |
| PD | Predicate disambiguation | batch_69cb04a14cd88190a79ed26cbeec1c33 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:30 p.m.