Triple
T9529292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brooks's law |
E229843
|
entity |
| Predicate | oftenSummarizedAs |
P31882
|
FINISHED |
| Object | Nine women can't make a baby in one month |
—
|
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: Nine women can't make a baby in one month | Statement: [Brooks's law, oftenSummarizedAs, Nine women can't make a baby in one month]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenSummarizedAs Context triple: [Brooks's law, oftenSummarizedAs, Nine women can't make a baby in one month]
-
A.
summarizes
chosen
Indicates that one entity provides a concise representation or overview of the main points or content of another entity.
-
B.
oftenExpressedAs
Indicates that one thing is frequently represented, stated, or manifested in the form of another.
-
C.
oftenSays
Indicates that one entity frequently makes a particular statement or remark, or regularly expresses a certain idea or phrase.
-
D.
reasoningSummary
Indicates that an entity provides a condensed explanation or overview of the reasoning or logical steps behind a conclusion, decision, or result.
-
E.
oftenHeldToBe
Indicates that something is frequently regarded, considered, or believed to be a certain way by many people or in many contexts.
- 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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98b1b93481909812245ac14e4988 |
completed | April 1, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69cca56c44f88190a54a5d2a133bb07e |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 8 p.m.