Triple
T30702280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mindless Behavior |
E781642
|
entity |
| Predicate | originalLineupSize |
P9077
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Mindless Behavior, originalLineupSize, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalLineupSize Context triple: [Mindless Behavior, originalLineupSize, 4]
-
A.
rosterSize
Indicates the total number of individuals included on a given roster.
-
B.
originalPlayersPerTeam
Indicates the number of players that each team initially had at the start of a game or season.
-
C.
originalPerformerLineup
Indicates that the subject is associated with the initial or first group of performers who originally performed an event, work, or production.
-
D.
originalNumberOfMembers
chosen
Indicates the initial total count of members in a group or organization before any changes such as additions or removals.
-
E.
basedOnLineupsOf
Indicates that something is derived from, determined by, or constructed using specific lineups.
- 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_69f224abfcf081909492e64d3cc35262 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a006417d1f4819093b2da02dbf2ab22 |
completed | May 10, 2026, 10:55 a.m. |
| PD | Predicate disambiguation | batch_6a00634a7a748190ac4774493fce3d30 |
completed | May 10, 2026, 10:51 a.m. |
Created at: April 29, 2026, 8:34 p.m.