Triple
T12369694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Mann |
E294967
|
entity |
| Predicate | actedIn |
P1668
|
FINISHED |
| Object | Our Friend |
E738900
|
NE 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: Our Friend | Statement: [Thomas Mann, actedIn, Our Friend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Our Friend Context triple: [Thomas Mann, actedIn, Our Friend]
-
A.
Our Friend
chosen
Our Friend is a 2019 drama film based on a true story, following a couple facing terminal illness and the selfless friend who moves in to support them and their family.
-
B.
Friend of Mine
"Friend of Mine" is a track by The Notorious B.I.G. from his landmark 1994 debut hip-hop album *Ready to Die*.
-
C.
My Friend
"My Friend" is a song featured on the EP "Available Light."
-
D.
Dear My Friends
Dear My Friends is a South Korean television drama series that poignantly portrays the lives, friendships, and struggles of a group of elderly friends.
-
E.
The Little Friend
The Little Friend is a 2002 novel by Donna Tartt that follows a young girl in Mississippi who becomes obsessed with uncovering the truth behind her brother’s long-unsolved murder.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa65a608190a1597a49751185a8 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62abfd9c081909803691d3fc4f149 |
completed | May 2, 2026, 4:48 p.m. |
Created at: April 8, 2026, 9:54 p.m.