Triple
T3090660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Ferlinghetti |
E64472
|
entity |
| Predicate | positionHeldStartTime |
P1814
|
FINISHED |
| Object | 1998 |
—
|
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: 1998 | Statement: [Lawrence Ferlinghetti, positionHeldStartTime, 1998]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionHeldStartTime Context triple: [Lawrence Ferlinghetti, positionHeldStartTime, 1998]
-
A.
positionHeld
Indicates that an entity occupies or has occupied a specific role, job, office, or position within an organization or context.
-
B.
officeHolderStartTime
chosen
Indicates the date and time at which an individual begins holding a particular office or position.
-
C.
firstHeldAt
Indicates the initial time or event at which an entity was first held, possessed, or hosted.
-
D.
previousHolderStartDate
Indicates the date on which the immediately preceding holder of something (e.g., a position, title, or asset) began their tenure or ownership.
-
E.
holdingDate
Indicates the date on which a holding, possession, or ownership of something is recorded or takes effect.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada20d8f788190b05b8b6b5042bc1a |
completed | March 8, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69ad9ded78f881908be6fc0fb7c35764 |
completed | March 8, 2026, 4:03 p.m. |
Created at: March 8, 2026, 3:03 p.m.