Triple
T35581593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tic-Tac-Toe |
E1028236
|
entity |
| Predicate | hasFirstPlayer |
P192358
|
FINISHED |
| Object | player using X |
—
|
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 using X | Statement: [Tic-Tac-Toe, hasFirstPlayer, player using X]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFirstPlayer Context triple: [Tic-Tac-Toe, hasFirstPlayer, player using X]
-
A.
hasStartingPlayer
chosen
Indicates that a specific player is designated as the one who begins or takes the first turn in a game or activity.
-
B.
hasPlayer
Indicates that an entity (such as a team, game, or roster) includes or is associated with a specific player.
-
C.
playerStartsWith
Indicates that a player begins a game, session, or sequence already possessing or being associated with a specified item, state, or attribute.
-
D.
firstGamePlayed
Indicates the specific game that an entity participated in before any other, marking the earliest game in which it played.
-
E.
firstWinner
Indicates that the subject is the entity who achieved first place or victory in the referenced event or competition.
- 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_69f76e0495a081909beced418558c0b4 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffe23081408190a121d901dbce1403 |
completed | May 10, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69ffe18aed348190912a5996b2da728b |
completed | May 10, 2026, 1:38 a.m. |
Created at: May 3, 2026, 4:04 p.m.