Triple
T28230078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angel |
E711702
|
entity |
| Predicate | roleInFlock |
P196001
|
FINISHED |
| Object | youngest member |
—
|
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: youngest member | Statement: [Angel, roleInFlock, youngest member]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInFlock Context triple: [Angel, roleInFlock, youngest member]
-
A.
roleInSwarm
Indicates the specific function or position an entity holds within a coordinated swarm or collective group.
-
B.
roleInChickenfoot
Indicates that an entity participates in a game of Chickenfoot (a dominoes variant) in a specific role or capacity.
-
C.
roleAtHoney
Indicates that an entity holds or held a specific role or position at the organization Honey.
-
D.
roleInEcosystem
Indicates the specific function or contribution an entity has within an ecosystem and how it interacts with other components of that system.
-
E.
roleInvolves
Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
- 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_69efb51dfb048190ada79b745c33b363 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69fe00dad1708190b6522476bebb43af |
completed | May 8, 2026, 3:27 p.m. |
| PD | Predicate disambiguation | batch_69fdfc3717f48190bb50ac2919c8ef95 |
completed | May 8, 2026, 3:07 p.m. |
| PDg | Predicate description generation | batch_69fe00d8d8248190a63c12aa2c2f7c0c |
completed | May 8, 2026, 3:27 p.m. |
Created at: April 27, 2026, 10:51 p.m.