Triple
T9936222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Captain Trips |
E192765
|
entity |
| Predicate | notableSurvivorRate |
P91237
|
FINISHED |
| Object | approximately 0.6 percent of human population |
—
|
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: approximately 0.6 percent of human population | Statement: [Captain Trips, notableSurvivorRate, approximately 0.6 percent of human population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSurvivorRate Context triple: [Captain Trips, notableSurvivorRate, approximately 0.6 percent of human population]
-
A.
notableSurvivor
Indicates that an entity is a well-known or significant individual who survived a particular event, situation, or condition.
-
B.
survivorWith
Indicates a relationship where one entity survives an event or condition together with, or in the presence of, another entity.
-
C.
survivorsPerMatch
Indicates the number of surviving participants remaining at the end of each match.
-
D.
notableRank
Indicates that an entity holds a distinguished or significant position or level within a ranking or hierarchy.
-
E.
survivorTerm
Indicates that one entity is designated as the surviving or remaining party in relation to another entity, often after a loss, termination, or adverse event.
- 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5e3bfa88190a88f20f2687a2583 |
completed | April 2, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9428cc81909b4b4938566d78a7 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd358386f48190833c862b5b8c04b2 |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:44 p.m.