Triple
T31085268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bing Crosby as Bob Wallace |
E792214
|
entity |
| Predicate | warServedInFictionally |
P170730
|
FINISHED |
| Object | World War II |
—
|
NE NERFINISHED |
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: World War II | Statement: [Bing Crosby as Bob Wallace, warServedInFictionally, World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: warServedInFictionally Context triple: [Bing Crosby as Bob Wallace, warServedInFictionally, World War II]
-
A.
hasFictionalWar
Indicates that there exists a fictional or imagined war involving the related entities.
-
B.
foughtAs
Indicates that an entity participated in a conflict or war in the capacity, role, or identity specified by another entity.
-
C.
servedArmy
Indicates that an entity has performed military service in, or been a member of, a particular army.
-
D.
usedInWar
Indicates that something (such as a resource, technology, or strategy) was employed as part of military activities or conflict in a war.
-
E.
hadMilitaryFollowing
Indicates that an entity was supported or backed by a group of military personnel or forces.
- 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_69f224ce48348190bd0fc23f656ed683 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695fc607c8190a5735f3b4bded7db |
completed | May 3, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69f690f13d7481908ddfefe95df2a1c2 |
completed | May 3, 2026, 12:04 a.m. |
| PDg | Predicate description generation | batch_69f6938244648190a553b532387b812c |
completed | May 3, 2026, 12:14 a.m. |
Created at: April 29, 2026, 9:02 p.m.