Triple
T18383008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Wright |
E446503
|
entity |
| Predicate | relationshipTypeWithPaulBoray |
P95781
|
FINISHED |
| Object | romantic entanglement |
—
|
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: romantic entanglement | Statement: [Helen Wright, relationshipTypeWithPaulBoray, romantic entanglement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithPaulBoray Context triple: [Helen Wright, relationshipTypeWithPaulBoray, romantic entanglement]
-
A.
relationshipToPaul
chosen
Indicates a specified type of personal or social relationship that an entity has with Paul.
-
B.
relationshipStatusWithPaulMontague
Indicates the nature or state of an entity’s personal relationship with Paul Montague.
-
C.
relationshipTypeWithMikaelBoghosian
Indicates the specific nature or category of relationship that an entity has with Mikael Boghosian.
-
D.
relationshipTypeWithBobbyBoucher
Indicates the specific nature or category of relationship that an entity has with Bobby Boucher.
-
E.
relationshipToAnnaPaul
Indicates that one entity has a specified personal or social relationship to Anna Paul.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179c931c8190b1c7c8284f42f7b7 |
completed | April 19, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69e44ff1f92c8190afbb8e85d12bf2a9 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:45 a.m.