Triple
T20736126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shauna Shipman |
E509710
|
entity |
| Predicate | relationshipTypeWithJackieTaylor |
P141312
|
FINISHED |
| Object | best friend in 1996 timeline |
—
|
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: best friend in 1996 timeline | Statement: [Shauna Shipman, relationshipTypeWithJackieTaylor, best friend in 1996 timeline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithJackieTaylor Context triple: [Shauna Shipman, relationshipTypeWithJackieTaylor, best friend in 1996 timeline]
-
A.
relationshipToJackiePeyton
Indicates the specific personal, professional, or social relationship that an entity has to Jackie Peyton.
-
B.
relationshipToJack
Indicates the specific type of personal or social connection an entity has with Jack.
-
C.
relationshipTypeWithMinnyJackson
Indicates the specific nature or category of relationship that an entity has with Minny Jackson.
-
D.
relationshipToJackBrown
Indicates the specific familial, social, or professional relationship that an entity has to Jack Brown.
-
E.
relationshipTypeWithJanieCrawford
Indicates the specific nature or category of relationship that an entity has with Janie Crawford.
- 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c20a02d48190bba22d1bdbeb370d |
completed | April 21, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c04b31248190b9b9d91b5cb854e3 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3cbe5788190b7ace43bfdac2ef6 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:31 p.m.