Triple
T10168237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noise_NK pattern |
E235260
|
entity |
| Predicate | secondMessageSender |
P92199
|
FINISHED |
| Object | responder |
—
|
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: responder | Statement: [Noise_NK pattern, secondMessageSender, responder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondMessageSender Context triple: [Noise_NK pattern, secondMessageSender, responder]
-
A.
secondCreatedBy
Indicates that an entity was created by a second or subsequent creator, distinguishing this creator from the primary or original one.
-
B.
secondHolder
Indicates that an entity is the second person or party to hold or possess a particular item, role, title, or position in a sequence.
-
C.
secondedBy
Indicates that an initial proposal, motion, or action by one entity is formally supported or endorsed by another entity as a second.
-
D.
secondPhase
Indicates that an entity is in, or has progressed to, the second phase or stage of a multi-phase process or sequence.
-
E.
secondOnlyTo
Indicates that one entity ranks immediately below another in degree, importance, or quality, with only that other entity surpassing it.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec6f64a48190883aefce58a65ca6 |
completed | April 2, 2026, 4:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba9956c8190a3e15d091e33149d |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4fed19d481909d2c7ff1114664b6 |
completed | April 1, 2026, 5:03 p.m. |
Created at: March 30, 2026, 9:10 p.m.