Triple
T15010598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HeLa |
E377824
|
entity |
| Predicate | firstImmortalHumanCellLine |
P116346
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [HeLa, firstImmortalHumanCellLine, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstImmortalHumanCellLine Context triple: [HeLa, firstImmortalHumanCellLine, true]
-
A.
hasNotableLineage
Indicates that an entity descends from, or is associated with, a distinguished or historically significant family, ancestry, or heritage.
-
B.
hasNotableLineageFor
Indicates that one entity possesses a distinguished or noteworthy ancestry, heritage, or lineage in relation to another entity.
-
C.
cellType
Indicates the classification relationship that specifies what type of cell an entity is or is associated with.
-
D.
firstLineOpened
Indicates that the first line of something (e.g., a document, file, or text block) has been opened or accessed.
-
E.
donorCellSpecies
Indicates the species from which the donor cell in a biological or experimental context originates.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded734943481908dad4ceed4fe850c |
completed | April 15, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69de9a6531a88190acde65199a477350 |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:55 a.m.