Triple
T37381584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edgar Davids |
E928443
|
entity |
| Predicate | roleAtBarnet |
P189384
|
FINISHED |
| Object | player-manager |
—
|
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: player-manager | Statement: [Edgar Davids, roleAtBarnet, player-manager]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtBarnet Context triple: [Edgar Davids, roleAtBarnet, player-manager]
-
A.
roleAtStrawberryHill
Indicates that an entity holds or held a specific role or position at Strawberry Hill.
-
B.
withinGreenBelt
Indicates that one entity is located inside the designated green belt area associated with another entity or region.
-
C.
hasLondonBorough
Indicates that an entity includes, contains, or is associated with a specific London borough as one of its administrative subdivisions.
-
D.
createdAsLondonBorough
Indicates that an entity was formally established or designated with the status of a London borough.
-
E.
roleInLyndhurst
Indicates that an entity holds or held a specific role or position within the context of Lyndhurst.
- 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_69f76eb9e66881908534cf22d04c3b5a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69fbbc48b75c8190bec27dd4b7de797f |
completed | May 6, 2026, 10:10 p.m. |
Created at: May 3, 2026, 4:16 p.m.