Triple
T4767569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massacre of the Innocents |
E105849
|
entity |
| Predicate | ageRangeOfVictims |
P2736
|
FINISHED |
| Object | two years old and under |
—
|
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: two years old and under | Statement: [Massacre of the Innocents, ageRangeOfVictims, two years old and under]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageRangeOfVictims Context triple: [Massacre of the Innocents, ageRangeOfVictims, two years old and under]
-
A.
victimAge
Indicates the age of the person who is the victim in the described event or situation.
-
B.
ageRange
chosen
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
-
C.
victimGroup
Indicates that one group or entity is the target or recipient of harm, abuse, or wrongdoing caused by another.
-
D.
estimatedVictimsUnderAuthority
Indicates that a specified authority is estimated to have a certain number of victims under its control, influence, or jurisdiction.
-
E.
legalStatusOfVictims
Indicates the legal classification or condition of the victims in relation to the event or action described.
- 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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd686ef1b08190ad60375592c9d6c0 |
completed | March 20, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69bd622807f881908e4bcb14f7731bac |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.