Triple
T28938928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HTT |
E730391
|
entity |
| Predicate | mouseHttKnockoutPhenotype |
P166045
|
FINISHED |
| Object | embryonic lethality |
—
|
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: embryonic lethality | Statement: [HTT, mouseHttKnockoutPhenotype, embryonic lethality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mouseHttKnockoutPhenotype Context triple: [HTT, mouseHttKnockoutPhenotype, embryonic lethality]
-
A.
mouseNickname
Indicates that one entity is used as a nickname or informal name for a mouse-related entity (such as a mouse character, device, or individual associated with mice).
-
B.
distinguishedFromRodentsBy
Indicates that one entity is set apart from or contrasted with rodents based on specific distinguishing characteristics or criteria.
-
C.
notableModelOrganism
Indicates that an organism is widely recognized and frequently used as a standard or reference model for scientific research or experimentation.
-
D.
limbMorphology
Indicates the structural form, shape, and configuration of an organism’s limbs in relation to its body.
-
E.
hostSpecies
Indicates the species that serves as the host for another organism, agent, or entity.
- 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_69f043ea0aa88190a25acbf46157995a |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f65bb75cd08190bbdb63c093ad6210 |
completed | May 2, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65b136b30819090cf59fb772f35f1 |
completed | May 2, 2026, 8:14 p.m. |
Created at: April 28, 2026, 8:34 a.m.