Triple
T38644863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medic |
E938688
|
entity |
| Predicate | HealTargets |
P188229
|
FINISHED |
| Object | friendly biological ground units |
—
|
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: friendly biological ground units | Statement: [Medic, HealTargets, friendly biological ground units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: HealTargets Context triple: [Medic, HealTargets, friendly biological ground units]
-
A.
buffTarget
chosen
Indicates that one entity applies a beneficial effect or enhancement to another entity.
-
B.
healingAmount
Indicates the quantity of health or damage recovery provided by a healing action or effect.
-
C.
heroPowerTargeting
Indicates that a hero’s power is being directed at or applied to a specific target.
-
D.
targetedForce
Indicates a deliberate application of force directed at a specific target or entity.
-
E.
canDamageFriendlyCharacters
Indicates that an entity’s actions or effects are capable of harming or inflicting damage on allied or friendly characters.
- 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_69f76ed948ec81908ce7811608a8f359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:32 p.m.