Triple
T19784849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahimaaz |
E475233
|
entity |
| Predicate | broughtNewsOf |
P137323
|
FINISHED |
| Object | the outcome of the battle in the forest of Ephraim |
—
|
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: the outcome of the battle in the forest of Ephraim | Statement: [Ahimaaz, broughtNewsOf, the outcome of the battle in the forest of Ephraim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broughtNewsOf Context triple: [Ahimaaz, broughtNewsOf, the outcome of the battle in the forest of Ephraim]
-
A.
broughtTo
Indicates that one entity caused another entity or object to be transported or accompanied to a particular destination or recipient.
-
B.
notableStory
Indicates that an entity is the subject or source of a story, account, or narrative that is considered notable or significant.
-
C.
notableStorySubject
Indicates that the subject is a prominent or central topic, character, or element within a particular story or narrative.
-
D.
notableReportingOn
Indicates that one entity has produced significant or widely recognized reporting, coverage, or journalistic work about another entity.
-
E.
offersNewscasts
Indicates that one entity provides or broadcasts news programs or newscast content to another or to an audience.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6538715b8819080c6930e7d16ab58 |
completed | April 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69e53053ed2881908400becdfada7fd3 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bcf41c8190b685b5adf46a60fc |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:49 p.m.