Triple
T5109753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rumpelteazer |
E115185
|
entity |
| Predicate | targetOfThefts |
P51875
|
FINISHED |
| Object | human households |
—
|
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: human households | Statement: [Rumpelteazer, targetOfThefts, human households]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetOfThefts Context triple: [Rumpelteazer, targetOfThefts, human households]
-
A.
targetOfCrime
chosen
Indicates that the subject is the person, organization, or entity against whom the referenced crime is committed.
-
B.
notableTheft
Indicates that an entity is involved in a theft event that is widely recognized or significant in some notable way.
-
C.
notableHeistTarget
Indicates that an entity is a significant or high-profile target of a heist or major theft.
-
D.
stolenBy
Indicates that something has been taken unlawfully or without permission by a particular entity.
-
E.
stolenDuring
Indicates that one entity was stolen in the course of, or at the time of, another specified event or time period.
- 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_69bd4441d1648190a54a533895041987 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75ac19e88190aa8cc8b930a58d2d |
completed | March 20, 2026, 4:28 p.m. |
| PD | Predicate disambiguation | batch_69bd715fe3a8819087d3065adddba515 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:41 p.m.