Triple
T27782047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Professor Plum |
E699356
|
entity |
| Predicate | hasWeaponOption |
P166460
|
FINISHED |
| Object | candlestick |
—
|
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: candlestick | Statement: [Professor Plum, hasWeaponOption, candlestick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWeaponOption Context triple: [Professor Plum, hasWeaponOption, candlestick]
-
A.
hasWeaponType
Indicates that an entity is associated with or equipped with a specific type or category of weapon.
-
B.
enablesWeapon
Indicates that one entity provides the capability for another entity to use, activate, or access a weapon.
-
C.
usedWeapon
Indicates that an entity employed a specific weapon as the means or tool to carry out an action or event.
-
D.
supportsWeapon
Indicates that one entity is capable of accommodating, using, or being compatible with a specified weapon.
-
E.
weaponFeature
Indicates that one entity is a characteristic, attribute, or functional aspect of a weapon.
- 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_69ef6a4b5a9081909c9111396c2be3d2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6622808b48190bbabcc75288ab031 |
completed | May 2, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f6617a7e7c81908cfac4a2250797ee |
completed | May 2, 2026, 8:41 p.m. |
Created at: April 27, 2026, 5:10 p.m.