Triple
T5420846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam-I-Am |
E121243
|
entity |
| Predicate | offersFoodWithCompanion |
P63562
|
FINISHED |
| Object | mouse |
—
|
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: mouse | Statement: [Sam-I-Am, offersFoodWithCompanion, mouse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersFoodWithCompanion Context triple: [Sam-I-Am, offersFoodWithCompanion, mouse]
-
A.
offersMeal
Indicates that one entity provides or makes available a meal to another entity.
-
B.
offersBuffet
Indicates that one entity provides a buffet-style service or meal option to another entity.
-
C.
offersCuisine
Indicates that one entity provides or serves a particular type or style of cuisine to others.
-
D.
alsoEats
Indicates that an entity consumes something in addition to another item or items it already eats.
-
E.
offersPreparationFor
Indicates that one entity provides training, resources, or support intended to ready another entity for a specific task, role, event, or condition.
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87eac41481908a4982db5d119edd |
completed | March 20, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69bd8469f5e48190bbe5c8bdfe8925ea |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd8741e8588190863fd5cfb559136d |
completed | March 20, 2026, 5:43 p.m. |
Created at: March 20, 2026, 2:06 p.m.