Triple
T18643435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hatch Labs |
E455744
|
entity |
| Predicate | roleInTinder |
P132846
|
FINISHED |
| Object | original development environment |
—
|
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: original development environment | Statement: [Hatch Labs, roleInTinder, original development environment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInTinder Context triple: [Hatch Labs, roleInTinder, original development environment]
-
A.
usedForDating
Indicates a relationship where one entity is used as a means, tool, or context for engaging in romantic or dating activities with another entity.
-
B.
seekerType
Indicates the specific category or role of the entity that is performing or initiating the seeking action in the relationship.
-
C.
personType
Indicates that an entity is classified as a particular type or category of person.
-
D.
loveInterestType
Indicates the specific kind or category of romantic or affectionate relationship that exists between the related entities.
-
E.
loveInterestPortrayedBy
Indicates that a character’s romantic interest is depicted or played by a particular actor or performer.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5500b6d7c8190b807b772980d913c |
completed | April 19, 2026, 9:58 p.m. |
| PD | Predicate disambiguation | batch_69e478d85864819093cbad5ed9b54878 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484121cd48190bf583b4c94636a30 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:47 a.m.