Triple
T30641911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebastian de Halleux |
E780003
|
entity |
| Predicate | playfishPlatform |
P170261
|
FINISHED |
| Object |
—
|
NE NERFINISHED |
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: Facebook | Statement: [Sebastian de Halleux, playfishPlatform, Facebook]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playfishPlatform Context triple: [Sebastian de Halleux, playfishPlatform, Facebook]
-
A.
playfishSpecialization
Indicates a specialization relationship where an entity focuses on or is particularly adapted to playing with fish.
-
B.
inGameZone
Indicates that an entity is located within a defined game zone or area of the game world.
-
C.
gamingSpace
Indicates a relationship where a space, area, or environment is designated or used specifically for gaming activities.
-
D.
homeGamesOf
Indicates that the subject is a home game (or set of home games) played by the specified team or entity.
-
E.
clubGamesFor
Indicates a relationship where a player participates in games on behalf of a specific club.
- 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_69f224a50ebc81909b961a94c7f66b12 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68b121eac81909e90416207bc1157 |
completed | May 2, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f68a160374819084d720985f800dfc |
completed | May 2, 2026, 11:34 p.m. |
Created at: April 29, 2026, 8:29 p.m.