Triple
T6751490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Man’s a Man |
E154349
|
entity |
| Predicate | originalTitle |
P65
|
FINISHED |
| Object | Mann ist Mann |
E616201
|
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: Mann ist Mann | Statement: [A Man’s a Man, originalTitle, Mann ist Mann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mann ist Mann Context triple: [A Man’s a Man, originalTitle, Mann ist Mann]
-
A.
Mann ist Mann
chosen
Mann ist Mann is a 1926 comedic play by Bertolt Brecht that explores identity and dehumanization through the story of an ordinary man transformed into a soldier.
-
B.
Between Man and Man
"Between Man and Man" is a philosophical work by Martin Buber that explores the nature of human relationships, dialogue, and the I–Thou encounter.
-
C.
Manly Men
"Manly Men" is the comedic, male-bonding–themed opening theme song associated with the sitcom *Two and a Half Men*.
-
D.
The Mankind
The Mankind is the English title of Surah An-Nas, the 114th and final chapter of the Qur’an, which is a short supplication seeking God’s protection from the evil of external and internal whisperings.
-
E.
The Man
The Man is a film featuring actor Richard Gant in a significant role.
- 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_69c6880ef37881909268a5a7299b9293 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1dbc3a48190a35df5dad8c630e8 |
completed | March 27, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712a793cc8190b838806151851711 |
completed | March 27, 2026, 11:28 p.m. |
Created at: March 27, 2026, 2:11 p.m.