Triple
T7006293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hale Boggs |
E162463
|
entity |
| Predicate | startTime (long House service) |
P12530
|
FINISHED |
| Object | 1947 |
—
|
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: 1947 | Statement: [Hale Boggs, startTime (long House service), 1947]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (long House service) Context triple: [Hale Boggs, startTime (long House service), 1947]
-
A.
usHouseServiceEnd
Indicates the date or event on which an individual’s service in the U.S. House of Representatives comes to an end.
-
B.
servedTimeAt
Indicates the specific time period during which an entity was served or received service at a particular place or context.
-
C.
officeStartTime (House Republican Conference Chair)
Indicates the time at which the individual began serving in the role of House Republican Conference Chair.
-
D.
startsAt
chosen
Indicates that an event, process, or state begins at a specific time, location, or point in a sequence.
-
E.
startTime_ma
Indicates the time at which an event, action, or relationship begins, measured in millions of years ago (Ma).
- 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_69c6885928148190ae31909fbb5e9849 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc34b5a88190a793e07dd4d0018b |
completed | March 27, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c67c94819084fdcf0398606027 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:33 p.m.