Triple
T5083023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuclear Family |
E114567
|
entity |
| Predicate | intendedPlayers |
P61189
|
FINISHED |
| Object | multiple players |
—
|
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: multiple players | Statement: [Nuclear Family, intendedPlayers, multiple players]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedPlayers Context triple: [Nuclear Family, intendedPlayers, multiple players]
-
A.
managedPlayers
Indicates that one entity has managerial responsibility or authority over the players represented by the other entity.
-
B.
usesNumberOfPlayersOnFieldPerTeam
Indicates that the relationship specifies or depends on how many players each team has on the field at a given time.
-
C.
numberOfPlayersLAN
Indicates the number of players that can participate together over a local area network (LAN) in the related context.
-
D.
hasPlayer
Indicates that an entity (such as a team, game, or roster) includes or is associated with a specific player.
-
E.
numberOfHumanProtagonists
Indicates the count of human characters that serve as protagonists in a given work or context.
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7517af308190bab5507a9344bf68 |
completed | March 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69bd7159adc881909effd4382c395c66 |
completed | March 20, 2026, 4:10 p.m. |
| PDg | Predicate description generation | batch_69bd73b2c2808190b777e2c2a8a45d3f |
completed | March 20, 2026, 4:20 p.m. |
Created at: March 20, 2026, 1:39 p.m.