Triple
T8715608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Hammer films |
E206885
|
entity |
| Predicate | periodOfPeakPopularity |
P2927
|
FINISHED |
| Object | 1950s |
—
|
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: 1950s | Statement: [Mike Hammer films, periodOfPeakPopularity, 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: periodOfPeakPopularity Context triple: [Mike Hammer films, periodOfPeakPopularity, 1950s]
-
A.
popularInPeriod
Indicates that something is widely liked, used, or influential during a specified time period.
-
B.
populationPeakPeriod
Indicates the time period during which a population reached its highest recorded level.
-
C.
peakYear
Indicates the year in which something reached its highest or most significant level, performance, or prominence.
-
D.
peakDay
Indicates the specific day on which a quantity, activity, or effect reaches its maximum level within a given period.
-
E.
peakPopularity
chosen
Indicates the time or context in which something reaches its highest level of popularity relative to other times or 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5cd807cc819090b58caf285b397a |
completed | March 31, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69cc456e806c819087e7d66ee737f242 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:35 p.m.