Triple
T5363816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hector |
E103081
|
entity |
| Predicate | bodyTreatment |
P63038
|
FINISHED |
| Object | dragged behind Achilles' chariot |
—
|
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: dragged behind Achilles' chariot | Statement: [Hector, bodyTreatment, dragged behind Achilles' chariot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodyTreatment Context triple: [Hector, bodyTreatment, dragged behind Achilles' chariot]
-
A.
bodyContour
Indicates the shape or outline of a body as defined by its external curves and boundaries.
-
B.
treats
Indicates that one entity provides medical care or therapeutic intervention to another entity.
-
C.
treatment
Indicates that one entity is used as a medical or therapeutic intervention to address, manage, or cure a condition affecting another entity.
-
D.
skinCharacteristic
Indicates a relationship where an entity is associated with a particular quality, feature, or condition of its skin.
-
E.
bodyCovering
Indicates the type of external covering or surface (such as skin, fur, feathers, or scales) that characterizes an entity’s body.
- 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_69bd43daa3e4819090b59d127db70e57 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd865d42508190a1a96121674c1020 |
completed | March 20, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69bd845f41f88190b75b8b64b9e41862 |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd85731dcc8190b4c1fe155967ab81 |
completed | March 20, 2026, 5:35 p.m. |
Created at: March 20, 2026, 2:02 p.m.