Triple
T26758454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nothing But the Truth (1914 novel) |
E674731
|
entity |
| Predicate | hasWagerDuration |
P168066
|
FINISHED |
| Object | fixed period of time |
—
|
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: fixed period of time | Statement: [Nothing But the Truth (1914 novel), hasWagerDuration, fixed period of time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWagerDuration Context triple: [Nothing But the Truth (1914 novel), hasWagerDuration, fixed period of time]
-
A.
wageringAvailable
Indicates that it is possible to place bets or wagers on the associated event or entity.
-
B.
hasOfficialDuration
Indicates the formally defined length of time associated with an event, process, or entity.
-
C.
hasBettingRounds
Indicates that an activity, event, or game includes one or more distinct phases during which participants can place or adjust bets.
-
D.
hasDurationCharacteristic
Indicates that something possesses a specific temporal property, such as length, span, or persistence over time.
-
E.
wagerAmount
Indicates the specific sum of money or value that is staked or risked in a bet or wager between parties.
- 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_69eecda6e9dc81908452fab3ba17ed9b |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f673633d288190b52ceb9f8a057c44 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 27, 2026, 3:56 a.m.