Triple
T33107910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | theBrothers |
E847240
|
entity |
| Predicate | numberOfNamedMembers |
P22325
|
FINISHED |
| Object | 0 (all unnamed in the text) |
—
|
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: 0 (all unnamed in the text) | Statement: [theBrothers, numberOfNamedMembers, 0 (all unnamed in the text)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNamedMembers Context triple: [theBrothers, numberOfNamedMembers, 0 (all unnamed in the text)]
-
A.
numberOfKnownMembers
Indicates the count of members within a group or set whose identities are known or have been explicitly determined.
-
B.
numberOfNames
chosen
Indicates the count of distinct names associated with a given entity.
-
C.
numberOfAssemblyMembers
Indicates the total count of members that belong to a particular assembly.
-
D.
numberOfMembersReturned
Indicates the quantity of members that are provided or yielded as a result of an operation or query.
-
E.
hasNumberedMembers
Indicates that a group or collection has members that are explicitly assigned distinct numerical identifiers.
- 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_69f3495686508190b76bf20fa5e00bf7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a02fc3890a881908b69b0f2d7cc1ce1 |
completed | May 12, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_6a02fb98438c8190938896c00216b9ec |
completed | May 12, 2026, 10:06 a.m. |
Created at: May 1, 2026, 1:26 a.m.