Triple
T27677537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passover massacre (Park Hotel bombing) |
E697821
|
entity |
| Predicate | suicideBomberGender |
P49636
|
FINISHED |
| Object | male |
—
|
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: male | Statement: [Passover massacre (Park Hotel bombing), suicideBomberGender, male]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: suicideBomberGender Context triple: [Passover massacre (Park Hotel bombing), suicideBomberGender, male]
-
A.
numberOfSuicideBombers
Indicates the quantity of individuals who carry out or are intended to carry out suicide bombing attacks.
-
B.
victimsGender
Indicates that the relationship specifies the gender of the victims involved in an event or situation.
-
C.
hasPerpetratorGender
chosen
Indicates that an action, event, or offense is associated with the specified gender of the perpetrator.
-
D.
bombingPerpetrator
Indicates that an entity is responsible for carrying out or organizing a bombing attack against another entity or target.
-
E.
bearerGender
Indicates the gender associated with the bearer in the relationship or context.
- 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_69ef590d458c81909583290c3cd0478b |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f635347b9c81908ee99a585c38c63d |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f62c1a92648190835a2c5250d8c758 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:44 p.m.