Triple
T17360996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Play |
E422064
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Inside |
E932480
|
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: Inside | Statement: [Play, hasPart, Inside]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inside Context triple: [Play, hasPart, Inside]
-
A.
Inside
chosen
Inside is a critically acclaimed atmospheric puzzle-platformer video game by Playdead, known for its dark, minimalist storytelling and haunting visual design.
-
B.
Inside
Inside is a visually striking, concept-driven stage work by Greek director and choreographer Dimitris Papaioannou that explores human presence, repetition, and everyday ritual within a single, continuous setting.
-
C.
Interior
"Interior" is a painting by American self-taught artist Horace Pippin, reflecting his characteristic, quietly powerful depictions of everyday domestic life.
-
D.
Interior
The Interior is a ministerial department within the Monégasque government responsible for internal affairs, public security, and administration of the principality.
-
E.
Within
Within is an immersive media and virtual reality company known for producing and distributing high-quality VR experiences and storytelling content.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4cacd881909fd722068b019f25 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195609d988190b7a70f8eabf75eaa |
completed | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.