Triple
T32512717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lard Lad |
E830978
|
entity |
| Predicate | heightInFiction |
P90499
|
FINISHED |
| Object | giant |
—
|
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: giant | Statement: [Lard Lad, heightInFiction, giant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightInFiction Context triple: [Lard Lad, heightInFiction, giant]
-
A.
heightDescription
chosen
Indicates how tall an entity is, typically expressed in descriptive or qualitative terms rather than a precise measurement.
-
B.
physicalHeight
Indicates the vertical size or stature of an entity, typically measured as the distance from its base to its highest point.
-
C.
heightInUniverse
Indicates the vertical position or elevation of an entity within a specified universe or spatial reference frame.
-
D.
bodyTypeInFiction
Indicates how a particular body type is portrayed, characterized, or represented within fictional works.
-
E.
targetInFiction
Indicates that one entity is the target or subject of an action, focus, or effect within a fictional work or narrative context.
- 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_69f3492318348190ba37fb6b5f1d67f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c49fc3248190809b0d61ac1b1b1a |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1 a.m.